Triple
T15141316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putussibau |
E361688
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Pangsuma Airport
Pangsuma Airport is a regional airport serving the town of Putussibau in West Kalimantan, Indonesia.
|
E1144262
|
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: Pangsuma Airport | Statement: [Putussibau, hasAirport, Pangsuma Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pangsuma Airport Context triple: [Putussibau, hasAirport, Pangsuma Airport]
-
A.
Mutiara Airport
Mutiara Airport is a public airport in Palu, Central Sulawesi, Indonesia, serving as the main air gateway to the region.
-
B.
Begumpet Airport
Begumpet Airport is the former primary airport of Hyderabad, India, now used mainly for military, training, and charter operations after being superseded by Rajiv Gandhi International Airport.
-
C.
Ranai Airport
Ranai Airport is the main civil and military airport serving the remote Natuna Islands in Indonesia’s Riau Islands province.
-
D.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
-
E.
Borongan Airport
Borongan Airport is a domestic airport serving the city of Borongan and surrounding areas in Eastern Samar, Philippines.
- 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: Pangsuma Airport Triple: [Putussibau, hasAirport, Pangsuma Airport]
Generated description
Pangsuma Airport is a regional airport serving the town of Putussibau in West Kalimantan, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pangsuma Airport Target entity description: Pangsuma Airport is a regional airport serving the town of Putussibau in West Kalimantan, Indonesia.
-
A.
Mutiara Airport
Mutiara Airport is a public airport in Palu, Central Sulawesi, Indonesia, serving as the main air gateway to the region.
-
B.
Begumpet Airport
Begumpet Airport is the former primary airport of Hyderabad, India, now used mainly for military, training, and charter operations after being superseded by Rajiv Gandhi International Airport.
-
C.
Ranai Airport
Ranai Airport is the main civil and military airport serving the remote Natuna Islands in Indonesia’s Riau Islands province.
-
D.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
-
E.
Borongan Airport
Borongan Airport is a domestic airport serving the city of Borongan and surrounding areas in Eastern Samar, Philippines.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c46a248190a2364092d40274f3 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd26190c8190a1f66adc22ae93b8 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedded2cf88190b46dcc6eaa219ff1 |
completed | May 9, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedeb3e3288190b6d5774f89667f3d |
completed | May 9, 2026, 7:13 a.m. |
Created at: April 10, 2026, 3:07 a.m.