Triple
T32561793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Goetz |
E832246
|
entity |
| Predicate | trainLineInvolved |
P177600
|
FINISHED |
| Object | IRT Seventh Avenue Line |
—
|
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: IRT Seventh Avenue Line | Statement: [Bernhard Goetz, trainLineInvolved, IRT Seventh Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainLineInvolved Context triple: [Bernhard Goetz, trainLineInvolved, IRT Seventh Avenue Line]
-
A.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
B.
involvedTrain
Indicates that a particular train participates in, is associated with, or plays a role in a specified event or situation.
-
C.
railwayLineNow
Indicates that a previously existing railway line has been replaced, succeeded, or is currently represented by a new or different railway line.
-
D.
railLineOrigin
Indicates that a rail line begins or originates from a specified location or point.
-
E.
line1RollingStock
Indicates that the rolling stock (e.g., train cars or locomotives) is assigned to or operating on the first line in a multi-line rail system.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:03 a.m.