Triple
T37275731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston–San Antonio |
E924640
|
entity |
| Predicate | connectsSecondLargestMetropolitanAreaInState |
P196542
|
FINISHED |
| Object | San Antonio metropolitan area |
—
|
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: San Antonio metropolitan area | Statement: [Houston–San Antonio, connectsSecondLargestMetropolitanAreaInState, San Antonio metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsSecondLargestMetropolitanAreaInState Context triple: [Houston–San Antonio, connectsSecondLargestMetropolitanAreaInState, San Antonio metropolitan area]
-
A.
connectsLargestCityInState
Indicates a relationship where something links or associates with the largest city within a given state.
-
B.
secondLargestMetropolitanArea
Indicates that one entity is the second largest metropolitan area (by population or size, as context defines) within the scope defined by the other entity.
-
C.
connectsToMetropolitanAreaInState
chosen
Indicates that an entity has a direct connection or linkage to a metropolitan area located within a specified state.
-
D.
connectsMajorCityState
Indicates that something serves as a link or route between a major city and the state it belongs to.
-
E.
secondMetropolitan
Indicates that one entity is the second metropolitan (e.g., second-ranking or second-designated metropolitan authority or see) in relation to another entity.
- F. None of above.
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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: May 3, 2026, 4:16 p.m.