Triple
T20100975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 9 |
E496535
|
entity |
| Predicate | isNumberedLineOf |
P33618
|
FINISHED |
| Object | STC Metro |
—
|
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: STC Metro | Statement: [Line 9, isNumberedLineOf, STC Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STC Metro Context triple: [Line 9, isNumberedLineOf, STC Metro]
-
A.
STC Metro
chosen
STC Metro is the rapid transit system serving Mexico City and some surrounding areas, known as one of the largest and busiest metro networks in Latin America.
-
B.
STC Metro
STC Metro is the rapid transit system serving Riyadh, Saudi Arabia, as part of the city’s integrated public transportation network.
-
C.
STL Metro
STL Metro is a public transit system serving the St. Louis metropolitan area with buses and light rail services.
-
D.
Sun Metro
Sun Metro is the public transportation agency serving the city of El Paso, Texas, operating local bus routes and related transit services.
-
E.
CapMetro
CapMetro is the public transportation authority serving the Austin, Texas metropolitan area, operating bus, rail, and paratransit services.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.