Triple
T2115661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uris Hall |
E43802
|
entity |
| Predicate | hasFireSafetySystems |
P25136
|
FINISHED |
| Object | fire alarms |
—
|
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: fire alarms | Statement: [Uris Hall, hasFireSafetySystems, fire alarms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFireSafetySystems Context triple: [Uris Hall, hasFireSafetySystems, fire alarms]
-
A.
hasEmergencySystems
chosen
Indicates that the subject is equipped with or includes systems designed to detect, respond to, or manage emergency situations.
-
B.
hasFireControlSystem
Indicates that an entity is equipped with or includes a fire control system used to detect, track, and direct weapons or suppression against targets.
-
C.
hasEmergencyExits
Indicates that an entity is equipped with designated emergency exits for use during urgent or hazardous situations.
-
D.
hasSafetyRegulationCompliance
Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
-
E.
hasHazardSignage
Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0724e08190a0a4210d86261d6d |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.