Triple
T32003601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDNY Engine Company 158 |
E817198
|
entity |
| Predicate | hasShiftPattern |
P86194
|
FINISHED |
| Object | 24-hour tours with rotating groups |
—
|
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: 24-hour tours with rotating groups | Statement: [FDNY Engine Company 158, hasShiftPattern, 24-hour tours with rotating groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShiftPattern Context triple: [FDNY Engine Company 158, hasShiftPattern, 24-hour tours with rotating groups]
-
A.
hasShiftPressureFrom
Indicates that one entity experiences or is subjected to shift-related pressure originating from another entity.
-
B.
hasPeripheralPattern
Indicates that one entity exhibits or is characterized by a pattern located at or toward the periphery or outer boundary of another entity.
-
C.
shiftPattern
chosen
Indicates a recurring schedule or arrangement that defines how work or activity shifts are organized over time.
-
D.
hasPattern
Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
-
E.
hasDynamicShifts
Indicates that something exhibits changes or transitions in state, intensity, or behavior over time rather than remaining constant.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: May 1, 2026, 12:14 a.m.