Triple
T25457378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunmow Flitch Trials |
E637947
|
entity |
| Predicate | hasJuryOf |
P57763
|
FINISHED |
| Object | six bachelors |
—
|
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: six bachelors | Statement: [Dunmow Flitch Trials, hasJuryOf, six bachelors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJuryOf Context triple: [Dunmow Flitch Trials, hasJuryOf, six bachelors]
-
A.
hasJurors
chosen
Indicates that one entity serves as or includes jurors in relation to another entity, typically in the context of a legal case or proceeding.
-
B.
hasJuror
Indicates that a person or legal body is assigned or associated with a specific juror in a judicial context.
-
C.
hasNumberOfJurors
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
-
D.
usesJuries
Indicates that a legal system, court, or process employs juries to participate in deciding cases or determining outcomes.
-
E.
hasSubJuries
Indicates that an entity (typically a main jury or committee) is composed of or associated with one or more subordinate juries.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72884408190b586de6cd827e1d4 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:10 p.m.