Triple
T10291433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandag |
E241373
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Tandag Airport
Tandag Airport is a public domestic airport serving the city of Tandag in Surigao del Sur, Philippines, providing regional air connectivity to the area.
|
E854981
|
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: Tandag Airport | Statement: [Tandag, hasAirport, Tandag Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tandag Airport Context triple: [Tandag, hasAirport, Tandag Airport]
-
A.
Mwanza Airport
Mwanza Airport is a regional airport in Mwanza, Tanzania, serving as a key hub for domestic flights and connections around Lake Victoria.
-
B.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
C.
Totegegie Airport
Totegegie Airport is the main air gateway serving the remote Gambier Islands in French Polynesia, providing vital connections to other parts of the territory.
-
D.
Iki Airport
Iki Airport is a regional airport in Nagasaki Prefecture, Japan, providing air transport services to and from Iki Island.
-
E.
Brak Airport
Brak Airport is a regional airport in Libya that serves the town of Brak and its surrounding 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: Tandag Airport Triple: [Tandag, hasAirport, Tandag Airport]
Generated description
Tandag Airport is a public domestic airport serving the city of Tandag in Surigao del Sur, Philippines, providing regional air connectivity to the area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tandag Airport Target entity description: Tandag Airport is a public domestic airport serving the city of Tandag in Surigao del Sur, Philippines, providing regional air connectivity to the area.
-
A.
Mwanza Airport
Mwanza Airport is a regional airport in Mwanza, Tanzania, serving as a key hub for domestic flights and connections around Lake Victoria.
-
B.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
C.
Totegegie Airport
Totegegie Airport is the main air gateway serving the remote Gambier Islands in French Polynesia, providing vital connections to other parts of the territory.
-
D.
Iki Airport
Iki Airport is a regional airport in Nagasaki Prefecture, Japan, providing air transport services to and from Iki Island.
-
E.
Brak Airport
Brak Airport is a regional airport in Libya that serves the town of Brak and its surrounding 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d281348190bac00cf826689cd7 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1465e88190aaa8b295df3f9c8c |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d73180d90481908f1b4768230edd36 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7326b14988190bff33dc01e690707 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:42 a.m.