Triple
T7895003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COM+ |
E183322
|
entity |
| Predicate | evolvedFrom |
P1245
|
FINISHED |
| Object | MTS |
E381786
|
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: MTS | Statement: [COM+, evolvedFrom, MTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTS Context triple: [COM+, evolvedFrom, MTS]
-
A.
MTS
chosen
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
B.
MTS
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
-
C.
MTC
MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
-
D.
MTC
MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
-
E.
MTM
MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a174574819084270dbb6fcbb7fe |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bae4bdc8190be7db2ba3acb708a |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.