Triple
T9983090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartford Fire Department |
E196499
|
entity |
| Predicate | hasPublicSafetyRole |
P30198
|
FINISHED |
| Object | first responder organization |
—
|
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: first responder organization | Statement: [Hartford Fire Department, hasPublicSafetyRole, first responder organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSafetyRole Context triple: [Hartford Fire Department, hasPublicSafetyRole, first responder organization]
-
A.
hasSafetyRole
chosen
Indicates that an entity holds a responsibility or function related to safety within a given context or system.
-
B.
hasPublicSafetyProvider
Indicates that an entity is served or protected by a designated public safety provider, such as police, fire, or emergency services.
-
C.
hasPublicAuthorityType
Indicates that an entity possesses a specific type or category of public authority status or role.
-
D.
hasLegalRole
Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
-
E.
hasCustodyRole
Indicates that one entity holds a specific custodial responsibility or role in relation to another 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bca41081909c04fb77603403b9 |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.