Triple
T7542648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorhat Airport |
E178316
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Rowriah Airport |
E188426
|
NE FINISHED |
How this triple was built (2 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: Rowriah Airport | Statement: [Jorhat Airport, alsoKnownAs, Rowriah Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowriah Airport Context triple: [Jorhat Airport, alsoKnownAs, Rowriah Airport]
-
A.
Rowriah Airport
chosen
Rowriah Airport is a domestic airport serving the city of Jorhat in the Indian state of Assam.
-
B.
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.
-
C.
Starfish Airport
Starfish Airport is a major international aviation hub in Beijing, China, renowned for its distinctive starfish-shaped terminal designed by architect Zaha Hadid.
-
D.
Mwanza Airport
Mwanza Airport is a regional airport in Mwanza, Tanzania, serving as a key hub for domestic flights and connections around Lake Victoria.
-
E.
Katherine Airport
Katherine Airport is a regional airport in the Northern Territory of Australia that serves the town of Katherine and its surrounding areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8762b048190a0b262f9cb3fe1b0 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b93188819080c769a2a1b122f4 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:48 p.m.