Triple
T23536603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rother Valley (UK Parliament constituency) |
E576715
|
entity |
| Predicate | firstConservativeWin |
P153163
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Rother Valley (UK Parliament constituency), firstConservativeWin, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConservativeWin Context triple: [Rother Valley (UK Parliament constituency), firstConservativeWin, 2019]
-
A.
firstLabourWin
Indicates that the subject achieved victory in their first labor, task, or challenge.
-
B.
firstElectionUnder
Indicates that an election was the first one conducted under a particular rule, system, constitution, or governing framework.
-
C.
wonFirstDemocraticElection
Indicates that the subject achieved victory in the first democratic election held for a given office, position, or context.
-
D.
firstElectionAfter
Indicates that one election is the earliest election that occurs after another specified election.
-
E.
firstElectionYear
Indicates the calendar year in which an entity (such as a person, office, or political body) first participated in or was subject to an election.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1738bc81909a7b761ddbaa1883 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:10 p.m.