Triple
T25010044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reading West |
E625955
|
entity |
| Predicate | predecessorMPFirstElected |
P117396
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Reading West, predecessorMPFirstElected, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorMPFirstElected Context triple: [Reading West, predecessorMPFirstElected, 1997]
-
A.
predecessorMPStartYear
chosen
Indicates that the subject entity’s predecessor began their term as a Member of Parliament in the specified year.
-
B.
predecessorAsPrimeMinister
Indicates that one person previously held the office of Prime Minister immediately before another person.
-
C.
successorInParliament
Indicates that one individual directly follows another in holding a parliamentary seat or office.
-
D.
hasFormerMP
Indicates that an entity previously served as a Member of Parliament for another entity (such as a constituency, party, or legislative body), but no longer holds that position.
-
E.
previousMPStartYear
Indicates the year in which the subject’s immediately preceding term as a Member of Parliament began.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:05 a.m.