Triple
T35545823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmington, Arkansas |
E1027209
|
entity |
| Predicate | hasMetropolitanInfluence |
P73473
|
FINISHED |
| Object | Fayetteville metropolitan area growth |
—
|
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: Fayetteville metropolitan area growth | Statement: [Farmington, Arkansas, hasMetropolitanInfluence, Fayetteville metropolitan area growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetropolitanInfluence Context triple: [Farmington, Arkansas, hasMetropolitanInfluence, Fayetteville metropolitan area growth]
-
A.
hasUrbanInfluence
chosen
Indicates that one entity exerts or reflects the characteristics, impact, or style of an urban area on another entity.
-
B.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
C.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
D.
hasMetropolitanStructure
Indicates that an entity possesses or is organized according to a metropolitan-level administrative or urban structural framework.
-
E.
hasMetropolitanSee
Indicates that one ecclesiastical jurisdiction serves as the metropolitan (primary or overseeing) see in relation to another church territory.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff370698ec81909bb1596d7d4112ba |
completed | May 9, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69ff3699b6288190b564839cb05f5cf6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: May 3, 2026, 4:04 p.m.