Triple
T3687687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta |
E78263
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Alta Airport
Alta Airport is a regional airport in Alta, Norway, serving as an important air transport hub for the Finnmark region.
|
E380405
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alta Airport | Statement: [Alta, hasAirport, Alta Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alta Airport Context triple: [Alta, hasAirport, Alta Airport]
-
A.
Hammerfest Airport
Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
-
B.
Henry E. Rohlsen Airport
Henry E. Rohlsen Airport is a public airport on the island of St. Croix that serves as one of the main air gateways to the U.S. Virgin Islands.
-
C.
Pico Airport
Pico Airport is a regional airport in the Azores archipelago of Portugal that serves Pico Island with domestic flights and limited international connections.
-
D.
El Lencero Airport
El Lencero Airport is a small regional airport serving the city of Xalapa and the surrounding area in the state of Veracruz, Mexico.
-
E.
HEF Airport
HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Alta Airport Triple: [Alta, hasAirport, Alta Airport]
Generated description
Alta Airport is a regional airport in Alta, Norway, serving as an important air transport hub for the Finnmark region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alta Airport Target entity description: Alta Airport is a regional airport in Alta, Norway, serving as an important air transport hub for the Finnmark region.
-
A.
Hammerfest Airport
Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
-
B.
Henry E. Rohlsen Airport
Henry E. Rohlsen Airport is a public airport on the island of St. Croix that serves as one of the main air gateways to the U.S. Virgin Islands.
-
C.
Pico Airport
Pico Airport is a regional airport in the Azores archipelago of Portugal that serves Pico Island with domestic flights and limited international connections.
-
D.
El Lencero Airport
El Lencero Airport is a small regional airport serving the city of Xalapa and the surrounding area in the state of Veracruz, Mexico.
-
E.
HEF Airport
HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c10f6481908feed99cddc56d47 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c7bd861c8190a1a7887f6d7fd6de |
completed | March 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c83085488190a48c6e4786d275e2 |
completed | March 14, 2026, 2:30 a.m. |
Created at: March 8, 2026, 3:26 p.m.