Triple
T15770740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorontalo City |
E382350
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Jalaluddin Airport
Jalaluddin Airport is a public airport serving Gorontalo and the surrounding region on the island of Sulawesi in Indonesia.
|
E1175269
|
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: Jalaluddin Airport | Statement: [Gorontalo City, hasAirport, Jalaluddin Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalaluddin Airport Context triple: [Gorontalo City, hasAirport, Jalaluddin Airport]
-
A.
Sultan Mahmud Airport
Sultan Mahmud Airport is the main public airport serving the Malaysian state of Terengganu, handling domestic flights and limited international services.
-
B.
Shah Makhdum Airport
Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
-
C.
Dalbandin Airport
Dalbandin Airport is a small domestic airport serving the town of Dalbandin in Balochistan, Pakistan, providing regional air connectivity.
-
D.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
E.
Humera Airport
Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera 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: Jalaluddin Airport Triple: [Gorontalo City, hasAirport, Jalaluddin Airport]
Generated description
Jalaluddin Airport is a public airport serving Gorontalo and the surrounding region on the island of Sulawesi in Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jalaluddin Airport Target entity description: Jalaluddin Airport is a public airport serving Gorontalo and the surrounding region on the island of Sulawesi in Indonesia.
-
A.
Sultan Mahmud Airport
Sultan Mahmud Airport is the main public airport serving the Malaysian state of Terengganu, handling domestic flights and limited international services.
-
B.
Shah Makhdum Airport
Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
-
C.
Dalbandin Airport
Dalbandin Airport is a small domestic airport serving the town of Dalbandin in Balochistan, Pakistan, providing regional air connectivity.
-
D.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
E.
Humera Airport
Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051962fe08190a6201dd48196a9ee |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877c5ae88190aeb500bb5f0d73f7 |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff885d33708190adb157afa7dc2e07 |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8948cc68819085c3953226236394 |
completed | May 9, 2026, 7:21 p.m. |
Created at: April 10, 2026, 4:47 a.m.