Triple
T34660621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazzard County, Georgia |
E890095
|
entity |
| Predicate | hasFictionalBank |
P200372
|
FINISHED |
| Object | Hazzard County Bank |
—
|
NE NERFINISHED |
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: Hazzard County Bank | Statement: [Hazzard County, Georgia, hasFictionalBank, Hazzard County Bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalBank Context triple: [Hazzard County, Georgia, hasFictionalBank, Hazzard County Bank]
-
A.
hasFictionalDenomination
Indicates that an entity is associated with a made-up or non-real-world unit, title, or currency used in a fictional context.
-
B.
hasFictionalMine
Indicates that an entity possesses, contains, or is associated with a mine that exists only in a fictional or imaginary context.
-
C.
hasFictionalHotel
Indicates that an entity includes, features, or is associated with a hotel that exists only in fiction rather than in reality.
-
D.
hasFictionalCorporation
Indicates that an entity is associated with or includes a fictional corporation within its content, setting, or narrative.
-
E.
hasFictionalAdministration
Indicates that an entity is governed, managed, or overseen by an administration that is fictional rather than real.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
| PDg | Predicate description generation | batch_69ff84dec2848190b67a497d025c8880 |
completed | May 9, 2026, 7:02 p.m. |
Created at: May 1, 2026, 2:04 a.m.