Triple
T27264529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio station |
E687861
|
entity |
| Predicate | lineInterchange |
P42836
|
FINISHED |
| Object | Line A – Line B |
—
|
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: Line A – Line B | Statement: [San Antonio station, lineInterchange, Line A – Line B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineInterchange Context triple: [San Antonio station, lineInterchange, Line A – Line B]
-
A.
interchangeWithLine
chosen
Indicates that one entity can be transferred or switched to another specific line, such as a route, track, or service line, at a given point.
-
B.
lineUse
Indicates how a particular line (such as a route, track, or service line) is utilized or purposed within a system or network.
-
C.
lineConfiguration
Indicates that the entities participate together in a specific arrangement or pattern along a line.
-
D.
lineStandard
Indicates that one entity is a standard or reference specification that defines or governs the characteristics or requirements of a particular line (such as a product line, production line, or service line).
-
E.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f626f1fcec81909c542acb032e81fb |
completed | May 2, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 10:54 a.m.