Triple
T34814340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Age Nursing Home fire |
E1003586
|
entity |
| Predicate | placeOfOccurrence |
P165186
|
FINISHED |
| Object | Golden Age Nursing Home |
—
|
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: Golden Age Nursing Home | Statement: [Golden Age Nursing Home fire, placeOfOccurrence, Golden Age Nursing Home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfOccurrence Context triple: [Golden Age Nursing Home fire, placeOfOccurrence, Golden Age Nursing Home]
-
A.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
B.
tookPlaceAtLocation
chosen
Indicates that an event or action occurred at a specific location.
-
C.
placeOfShooting
Indicates the location where a shooting event took place.
-
D.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
E.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 3, 2026, 3:59 p.m.