Triple
T2677479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warri |
E56493
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Osubi Airport
Osubi Airport is a domestic airport serving the city of Warri and its surrounding region in Delta State, Nigeria.
|
E340188
|
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: Osubi Airport | Statement: [Warri, hasAirport, Osubi Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osubi Airport Context triple: [Warri, hasAirport, Osubi Airport]
-
A.
Tajima Airport
Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
-
B.
Miyako Airport
Miyako Airport is a regional airport serving Miyako Island in Japan’s Okinawa Prefecture, handling domestic flights and connecting the island to major Japanese cities.
-
C.
Amami Airport
Amami Airport is a regional airport in Japan serving the Amami Islands in Kagoshima Prefecture, providing domestic connections to mainland Japan and nearby islands.
-
D.
Itami Airport
Itami Airport is a major domestic airport serving the Osaka metropolitan area in Japan.
-
E.
Okadama Airport
Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic and general aviation flights.
- 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: Osubi Airport Triple: [Warri, hasAirport, Osubi Airport]
Generated description
Osubi Airport is a domestic airport serving the city of Warri and its surrounding region in Delta State, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osubi Airport Target entity description: Osubi Airport is a domestic airport serving the city of Warri and its surrounding region in Delta State, Nigeria.
-
A.
Tajima Airport
Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
-
B.
Miyako Airport
Miyako Airport is a regional airport serving Miyako Island in Japan’s Okinawa Prefecture, handling domestic flights and connecting the island to major Japanese cities.
-
C.
Amami Airport
Amami Airport is a regional airport in Japan serving the Amami Islands in Kagoshima Prefecture, providing domestic connections to mainland Japan and nearby islands.
-
D.
Itami Airport
Itami Airport is a major domestic airport serving the Osaka metropolitan area in Japan.
-
E.
Okadama Airport
Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic and general aviation flights.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b697fc8190a5ec8b75ee2ad238 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276bd909c8190a227ae7af6f41547 |
completed | March 12, 2026, 8:18 a.m. |
| NEDg | Description generation | batch_69b27a91eea881909cf62ec7a102e798 |
completed | March 12, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27b51403c8190a7244cc1d96bf9a4 |
completed | March 12, 2026, 8:37 a.m. |
Created at: March 6, 2026, 9:54 p.m.