Triple
T9619227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shillong Airport |
E232297
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Umroi |
E232297
|
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: Umroi | Statement: [Shillong Airport, locatedIn, Umroi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umroi Context triple: [Shillong Airport, locatedIn, Umroi]
-
A.
Umroi
chosen
Umroi is a town in the Indian state of Meghalaya known for serving as the location of Shillong’s main airport.
-
B.
Uluka
Uluka is an alternative name for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
-
C.
Urambo
Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
-
D.
Othomi
Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
-
E.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ab0a15481908945b50c622b71b9 |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18225f9508190bde23b9d2a40bccc |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:09 p.m.