Triple
T9701601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heytesbury |
E234788
|
entity |
| Predicate | numberOfMPsReturnedBefore1832 |
P62085
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Heytesbury, numberOfMPsReturnedBefore1832, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMPsReturnedBefore1832 Context triple: [Heytesbury, numberOfMPsReturnedBefore1832, 2]
-
A.
numberOfMembersBefore1832
chosen
Indicates the number of members associated with an entity prior to the year 1832.
-
B.
firstReturnedMembersToParliamentInCentury
Indicates that the subject is the first entity whose members were returned to Parliament during the specified century.
-
C.
numberOfMPsElectedIn1900GeneralElection
Indicates the number of Members of Parliament that an entity had elected in the 1900 general election.
-
D.
numberOfParliaments
Indicates the count of distinct parliaments associated with or relevant to a given entity.
-
E.
hasParliamentaryHistory
Indicates that an entity possesses a record or background of involvement, activity, or events within a parliamentary context.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:18 p.m.