Triple
T23673450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutton Fire Station |
E584798
|
entity |
| Predicate | handlesTypeOfIncident |
P76024
|
FINISHED |
| Object | fires |
—
|
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: fires | Statement: [Sutton Fire Station, handlesTypeOfIncident, fires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesTypeOfIncident Context triple: [Sutton Fire Station, handlesTypeOfIncident, fires]
-
A.
commonIncidentType
Indicates that multiple entities share the same category or type of incident.
-
B.
notableIncidentType
chosen
Indicates the specific category or kind of significant event or incident associated with an entity.
-
C.
situationType
Indicates the general kind or category of situation, event, or circumstance that a given instance represents.
-
D.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
E.
stateOfIncident
Indicates the specific condition or status that an incident is currently in within its lifecycle.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b410bd788190b2c6853e13287ace |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.