Triple
T7221971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant Shapps |
E150279
|
entity |
| Predicate | precededInPosition |
P11124
|
FINISHED |
| Object | Priti Patel as Home Secretary |
—
|
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: Priti Patel as Home Secretary | Statement: [Grant Shapps, precededInPosition, Priti Patel as Home Secretary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededInPosition Context triple: [Grant Shapps, precededInPosition, Priti Patel as Home Secretary]
-
A.
appearsBefore
chosen
Indicates that one entity occurs, is positioned, or is presented earlier in an ordered sequence than another entity.
-
B.
precedesLetter
Indicates that one letter comes immediately before another letter in a specified ordering, such as the alphabet or a given sequence.
-
C.
precededByStop
Indicates that an event, action, or state occurs immediately after and in sequence following a prior stopping event.
-
D.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
E.
precededAsCapitalBy
Indicates that one capital city previously held the status of capital before being succeeded by another capital city.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b42c5c81908c405f161c35ffb4 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:54 p.m.