Triple
T15870790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poso |
E384823
|
entity |
| Predicate | nearbyAirport |
P350
|
FINISHED |
| Object |
Kasiguncu Airport
Kasiguncu Airport is a regional airport serving the town of Poso in Central Sulawesi, Indonesia.
|
E1190486
|
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: Kasiguncu Airport | Statement: [Poso, nearbyAirport, Kasiguncu Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasiguncu Airport Context triple: [Poso, nearbyAirport, Kasiguncu Airport]
-
A.
Sibulan Airport
Sibulan Airport is a domestic airport serving Dumaguete and the surrounding areas in Negros Oriental, in the Central Visayas region of the Philippines.
-
B.
Pakyong Airport
Pakyong Airport is a domestic airport in the Indian state of Sikkim that serves as the primary air gateway to the region’s capital and surrounding Himalayan areas.
-
C.
Gizo Airport
Gizo Airport is a small regional airfield serving the town of Gizo and surrounding areas in the Western Province of the Solomon Islands.
-
D.
Loakan Airport
Loakan Airport is a small domestic airport serving the city of Baguio in the mountainous Cordillera region of the Philippines.
-
E.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
- 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: Kasiguncu Airport Triple: [Poso, nearbyAirport, Kasiguncu Airport]
Generated description
Kasiguncu Airport is a regional airport serving the town of Poso in Central Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasiguncu Airport Target entity description: Kasiguncu Airport is a regional airport serving the town of Poso in Central Sulawesi, Indonesia.
-
A.
Sibulan Airport
Sibulan Airport is a domestic airport serving Dumaguete and the surrounding areas in Negros Oriental, in the Central Visayas region of the Philippines.
-
B.
Pakyong Airport
Pakyong Airport is a domestic airport in the Indian state of Sikkim that serves as the primary air gateway to the region’s capital and surrounding Himalayan areas.
-
C.
Gizo Airport
Gizo Airport is a small regional airfield serving the town of Gizo and surrounding areas in the Western Province of the Solomon Islands.
-
D.
Loakan Airport
Loakan Airport is a small domestic airport serving the city of Baguio in the mountainous Cordillera region of the Philippines.
-
E.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155f915788190a8efc3b3380cb829 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbbff15c81909cb148a33b51a16e |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc813208819088519396fa5298a6 |
completed | May 10, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdced694c8190a196ae36e5d6a99e |
completed | May 10, 2026, 1:18 a.m. |
Created at: April 10, 2026, 4:50 a.m.