Triple
T26154291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bermondsey and Old Southwark (UK Parliament constituency) |
E659913
|
entity |
| Predicate | hasPreviousMP |
P31607
|
FINISHED |
| Object | Simon Hughes |
—
|
NE NERFINISHED |
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: Simon Hughes | Statement: [Bermondsey and Old Southwark (UK Parliament constituency), hasPreviousMP, Simon Hughes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreviousMP Context triple: [Bermondsey and Old Southwark (UK Parliament constituency), hasPreviousMP, Simon Hughes]
-
A.
hasPredecessorMP
Indicates that one member of parliament previously held the same parliamentary position or seat before another member of parliament.
-
B.
previousMP
chosen
Indicates that one entity served as a Member of Parliament for a given constituency or position immediately before another specified entity.
-
C.
hasPreviousFunction
Indicates that an entity was assigned a different function or role at an earlier time.
-
D.
hasHistoricMP
Indicates that an entity is or has been represented by a specific Member of Parliament at some point in the past.
-
E.
previousMPStatus
Indicates that an entity’s prior status or role as a Member of Parliament (MP) holds or held a particular condition or classification.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 26, 2026, 8:27 p.m.