Triple
T27856738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bristol South East |
E704107
|
entity |
| Predicate | Tony Benn_termStart |
P164355
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Bristol South East, Tony Benn_termStart, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Tony Benn_termStart Context triple: [Bristol South East, Tony Benn_termStart, 1963]
-
A.
Tony Benn_termEnd
Indicates the date or point in time when Tony Benn’s term in a particular office or position ended.
-
B.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
C.
Gordon Brown_termStart
Indicates the date on which Gordon Brown’s term in a particular office or role began.
-
D.
firstPrimeMinisterTermStart
Indicates the date on which an entity began serving its first term as prime minister.
-
E.
formerMPStartYear
Indicates the year in which an individual began their period of service as a former Member of Parliament (i.e., the start year of their tenure as an MP).
- F. None of above. chosen
Provenance (4 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 6:15 p.m.