Triple
T28151474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nationals |
E714630
|
entity |
| Predicate | supportsConstituency |
P37822
|
FINISHED |
| Object | farmers |
—
|
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: farmers | Statement: [The Nationals, supportsConstituency, farmers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsConstituency Context triple: [The Nationals, supportsConstituency, farmers]
-
A.
representsConstituency
Indicates that one entity serves as a constituent, component, or represented group within another entity, typically in a political or organizational context.
-
B.
containsConstituency
Indicates that one entity includes or encompasses another entity as part of its constituency or membership.
-
C.
usesConstituencySeats
Indicates that one entity allocates or fills its positions or representation through constituency-based seats.
-
D.
constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
-
E.
coreConstituency
chosen
Indicates that one entity serves as the primary, most important group of supporters or audience for another entity.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a00708ab11081909641d245c4282aa0 |
completed | May 10, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a00703daa0081908903ce3a28084d35 |
completed | May 10, 2026, 11:47 a.m. |
Created at: April 27, 2026, 9:59 p.m.