Triple
T17982601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambala Cantonment railway station |
E449637
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | UMB |
—
|
NE NERFINISHED |
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: UMB | Statement: [Ambala Cantonment railway station, stationCode, UMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UMB Context triple: [Ambala Cantonment railway station, stationCode, UMB]
-
A.
UMB
UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
-
B.
UMB
chosen
UMB is the Indian Railways station code for Ambala Cantonment, a major railway junction in Haryana, India.
-
C.
UMB
UMB is the commonly used abbreviation for Matej Bel University, a public higher education institution in Banská Bystrica, Slovakia.
-
D.
UM
UM is the IATA airline designator assigned to Air Zimbabwe, the national carrier of Zimbabwe.
-
E.
UM
UM is the alias of Uncle Murda, a Brooklyn-based American rapper known for his gritty street narratives and mixtapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b297b7108190a676409b330ca23b |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:22 a.m.