Triple
T18060757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petersfield (UK Parliament constituency) |
E432165
|
entity |
| Predicate | hadNumberOfMPs |
P82981
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Petersfield (UK Parliament constituency), hadNumberOfMPs, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNumberOfMPs Context triple: [Petersfield (UK Parliament constituency), hadNumberOfMPs, 1]
-
A.
hasNumberOfMPs
chosen
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
B.
hasNumberOfMSPs
Indicates the relationship specifying how many managed service providers (MSPs) are associated with or involved in a given entity or context.
-
C.
hadParliamentaryRepresentationIn
Indicates that an entity was represented by one or more members in a specified parliament or legislative body during a given time or period.
-
D.
hadNumberOfMembers
Indicates that an entity possessed or was associated with a specific count of members at a given time or in a given context.
-
E.
hasParliamentMembers
Indicates that a governing body or political entity possesses or is represented by one or more members in a parliament.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c1066f508190bacf1122e366f87b |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.