Triple
T10252055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Fairfield Volunteer Fire Department |
E240366
|
entity |
| Predicate | servicePopulationType |
P93194
|
FINISHED |
| Object | suburban community |
—
|
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: suburban community | Statement: [New Fairfield Volunteer Fire Department, servicePopulationType, suburban community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servicePopulationType Context triple: [New Fairfield Volunteer Fire Department, servicePopulationType, suburban community]
-
A.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
B.
hadPopulationType
Indicates that an entity possessed a particular classification or type of population during a given time or context.
-
C.
hostedPopulationType
Indicates the type or category of population that is accommodated or supported by a given host entity.
-
D.
hasServiceAreaPopulation
Indicates that an entity has a service area characterized by a specific population size or count.
-
E.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
- F. None of above. chosen
Provenance (4 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d32741888190928b045e2241cfac |
completed | April 7, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:29 a.m.