Triple
T13474133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagford |
E318205
|
entity |
| Predicate | hasSocioeconomicContrastWith |
P105475
|
FINISHED |
| Object | the Fields |
—
|
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: the Fields | Statement: [Pagford, hasSocioeconomicContrastWith, the Fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocioeconomicContrastWith Context triple: [Pagford, hasSocioeconomicContrastWith, the Fields]
-
A.
hasSocioEconomicContext
Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
-
B.
socialClassContrastWith
chosen
Indicates a contrast or difference between the social classes or social standings associated with two entities.
-
C.
hasSocioeconomicIssue
Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
-
D.
hasContrastingRelationshipWith
Indicates a relationship in which two entities are opposed, divergent, or markedly different in qualities, roles, or effects.
-
E.
socioEconomicBase
Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.