Triple
T13774581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guiuan |
E330970
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Guiuan Airport
Guiuan Airport is a small public airfield serving the municipality of Guiuan in Eastern Samar, Philippines, primarily handling domestic and general aviation flights.
|
E1068790
|
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: Guiuan Airport | Statement: [Guiuan, hasAirport, Guiuan Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guiuan Airport Context triple: [Guiuan, hasAirport, Guiuan Airport]
-
A.
Juanda International Airport
Juanda International Airport is a major international airport serving the city of Surabaya and the surrounding East Java region in Indonesia.
-
B.
Labasa Airport
Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
-
C.
Diffa Airport
Diffa Airport is a small public airport serving the town and surrounding region of Diffa in southeastern Niger.
-
D.
Iki Airport
Iki Airport is a regional airport in Nagasaki Prefecture, Japan, providing air transport services to and from Iki Island.
-
E.
Beni Airport
Beni Airport is a small public airport serving the city of Beni in the North Kivu province of the Democratic Republic of the Congo.
- 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: Guiuan Airport Triple: [Guiuan, hasAirport, Guiuan Airport]
Generated description
Guiuan Airport is a small public airfield serving the municipality of Guiuan in Eastern Samar, Philippines, primarily handling domestic and general aviation flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guiuan Airport Target entity description: Guiuan Airport is a small public airfield serving the municipality of Guiuan in Eastern Samar, Philippines, primarily handling domestic and general aviation flights.
-
A.
Juanda International Airport
Juanda International Airport is a major international airport serving the city of Surabaya and the surrounding East Java region in Indonesia.
-
B.
Labasa Airport
Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
-
C.
Diffa Airport
Diffa Airport is a small public airport serving the town and surrounding region of Diffa in southeastern Niger.
-
D.
Iki Airport
Iki Airport is a regional airport in Nagasaki Prefecture, Japan, providing air transport services to and from Iki Island.
-
E.
Beni Airport
Beni Airport is a small public airport serving the city of Beni in the North Kivu province of the Democratic Republic of the Congo.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c7007d5c8190800456e32101903f |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c8d477f881908f8cfd2783e7f10f |
completed | May 3, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ca27ffd4819080bccd6bfd88ddb3 |
completed | May 3, 2026, 10:20 p.m. |
Created at: April 9, 2026, 10:10 p.m.