Triple
T30677034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwood Volunteer Fire Company |
E780939
|
entity |
| Predicate | hasResponseRole |
P161
|
FINISHED |
| Object | first responder |
—
|
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 | Statement: [Greenwood Volunteer Fire Company, hasResponseRole, first responder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResponseRole Context triple: [Greenwood Volunteer Fire Company, hasResponseRole, first responder]
-
A.
hasResponseAuthor
Indicates that a given response is authored or created by a specific agent or entity.
-
B.
hasResponseMode
Indicates that an entity operates or behaves according to a particular mode or style of responding.
-
C.
hasRecipientRole
Indicates that a specified entity serves as the recipient or target role in a given interaction, transaction, or relationship.
-
D.
hasRole
chosen
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
E.
hasReplyType
Indicates that an entity’s reply or response is of a specified type or category.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
Created at: April 29, 2026, 8:32 p.m.