Triple
T640093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Baptist Church of Littleton |
E16717
|
entity |
| Predicate | buildingUsageStatus |
P5870
|
FINISHED |
| Object | active |
—
|
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: active | Statement: [First Baptist Church of Littleton, buildingUsageStatus, active]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingUsageStatus Context triple: [First Baptist Church of Littleton, buildingUsageStatus, active]
-
A.
operatingStatus
chosen
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
-
B.
isPublicBuilding
Indicates that a building is designated for public use, access, or service rather than being privately owned or restricted.
-
C.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
currentSiteUse
Indicates how a site is presently being used or the function it currently serves.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f0189b08190a584b744f36fa761 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0830008190a26ee158ed4dd1fe |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.