Triple
T759134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunswick Line |
E16025
|
entity |
| Predicate | ownerOfStations |
P19286
|
FINISHED |
| Object | various local jurisdictions |
—
|
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: various local jurisdictions | Statement: [Brunswick Line, ownerOfStations, various local jurisdictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerOfStations Context triple: [Brunswick Line, ownerOfStations, various local jurisdictions]
-
A.
legacyVenue
Indicates that a venue has historical or long-standing significance, often preserved or recognized due to its past importance or enduring role.
-
B.
countryStationed
Indicates that an entity is assigned, based, or deployed within the territory of a specified country.
-
C.
hostStadium
Indicates that a particular stadium serves as the venue where an event, team, or competition is hosted.
-
D.
hallOfFameOwner
Indicates that an entity owns, controls, or is officially responsible for a Hall of Fame.
-
E.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
- F. None of above. chosen
Provenance (4 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:37 p.m.