Triple
T11280786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broad Channel Volunteer Fire Department |
E267057
|
entity |
| Predicate | hasOperationalType |
P1137
|
FINISHED |
| Object | community-based 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: community-based organization | Statement: [Broad Channel Volunteer Fire Department, hasOperationalType, community-based organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperationalType Context triple: [Broad Channel Volunteer Fire Department, hasOperationalType, community-based organization]
-
A.
hasOperationType
chosen
Indicates the specific kind or category of operation associated with an entity or process.
-
B.
hasOperationalComponent
Indicates that an entity includes, uses, or depends on another entity as a functional or operational part of its overall system or process.
-
C.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
D.
hasApplicationType
Indicates that an entity is associated with or classified by a specific type or category of application.
-
E.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e969b3448190940e2bd499d2d7de |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.