Triple
T32189647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluebell medical clinic |
E822201
|
entity |
| Predicate | servesFictionalCommunity |
P146296
|
FINISHED |
| Object | residents of Bluebell, Alabama |
—
|
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: residents of Bluebell, Alabama | Statement: [Bluebell medical clinic, servesFictionalCommunity, residents of Bluebell, Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesFictionalCommunity Context triple: [Bluebell medical clinic, servesFictionalCommunity, residents of Bluebell, Alabama]
-
A.
partOfFictionalCommunity
Indicates that one entity belongs to or is a member of a particular fictional community, group, or collective.
-
B.
worksAtFictionalPlace
Indicates that an entity is employed at or associated with performing work in a fictional or imaginary location.
-
C.
hasFictionalNearbyTown
Indicates that an entity is associated with a fictional town located in its vicinity or surrounding area.
-
D.
fictionalCityServed
chosen
Indicates that a fictional city is served by a particular service, facility, or infrastructure (such as transport, utilities, or institutions).
-
E.
hasFictionalTownType
Indicates that a fictional town is classified as being of a particular 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 12:35 a.m.