Triple
T37300942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston–Dallas |
E925937
|
entity |
| Predicate | hasMajorEndpointStationCandidate |
P34947
|
FINISHED |
| Object | Dallas station area |
—
|
LITERAL 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: Dallas station area | Statement: [Houston–Dallas, hasMajorEndpointStationCandidate, Dallas station area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorEndpointStationCandidate Context triple: [Houston–Dallas, hasMajorEndpointStationCandidate, Dallas station area]
-
A.
hasEndpointStation
chosen
Indicates that something (such as a route, line, or service) has a specific station as one of its terminal endpoints.
-
B.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
C.
hasMajorHubIn
Indicates that an entity maintains a primary or significant operational hub or center in a specified location.
-
D.
isOneOfMajorStationsIn
Indicates that a station belongs to the set of primary or most important stations within a specified area or system.
-
E.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.