Triple
T32561841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 New York City subway shooting |
E832247
|
entity |
| Predicate | occursOnLine |
P24433
|
FINISHED |
| Object | IRT Lexington 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 Lexington Avenue Line | Statement: [1984 New York City subway shooting, occursOnLine, IRT Lexington Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursOnLine Context triple: [1984 New York City subway shooting, occursOnLine, IRT Lexington Avenue Line]
-
A.
occursAt
chosen
Indicates that an event or action takes place at a specific time or location.
-
B.
positionOnLine
Indicates that one entity occupies a specific location along a defined line or linear path in relation to another.
-
C.
occursTo
Indicates that an event, idea, or realization happens in or comes to the mind or awareness of an entity.
-
D.
occursFor
Indicates that an event, process, or condition takes place in relation to, or on behalf of, a particular entity or context.
-
E.
isOnBranchOfLine
Indicates that something is located on or belongs to a specific branch of a larger line or route.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:03 a.m.