Triple
T12555381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bracknell (UK Parliament constituency) |
E295199
|
entity |
| Predicate | hasMPCount |
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: [Bracknell (UK Parliament constituency), hasMPCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMPCount Context triple: [Bracknell (UK Parliament constituency), hasMPCount, 1]
-
A.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
-
B.
hasHeadCount
Indicates that an entity is associated with a specific number of individuals, typically representing the size or count of people (or similar units) related to it.
-
C.
hasNumberOfMPs
chosen
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
D.
hasMonthCount
Indicates a relationship where an entity is associated with a specific number of months.
-
E.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:46 p.m.