Triple
T17174833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | METRO Q Card |
E416831
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Houston METRO |
E418780
|
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: Houston METRO | Statement: [METRO Q Card, operator, Houston METRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houston METRO Context triple: [METRO Q Card, operator, Houston METRO]
-
A.
METRO (Houston)
chosen
METRO (Houston) is the public transportation authority serving the Houston metropolitan area, operating bus, light rail, and related transit services.
-
B.
Houston
Houston is a village in Renfrewshire, Scotland, known for its historic conservation area and role as a commuter settlement near Glasgow.
-
C.
Houston
Houston is a major U.S. metropolis known for its energy industry, NASA’s Johnson Space Center, and its diverse, rapidly growing population.
-
D.
Houston metropolitan area
The Houston metropolitan area is a large, sprawling urban region in Southeast Texas centered on the city of Houston, known for its energy industry, port facilities, and diverse population.
-
E.
Houston METRORail
Houston METRORail is a light rail transit system serving the city of Houston, Texas, providing urban passenger rail service along several key corridors.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0c329081909f118bd4b7be8653 |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc83984819098c98b75cf021e3a |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.