Triple
T828203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister’s Questions |
E17903
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | PMQs |
E17903
|
NE 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: PMQs | Statement: [Prime Minister’s Questions, shortName, PMQs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PMQs Context triple: [Prime Minister’s Questions, shortName, PMQs]
-
A.
Prime Minister’s Questions
chosen
Prime Minister’s Questions is a weekly session in the UK House of Commons where the Prime Minister answers questions from Members of Parliament, including the Leader of the Opposition.
-
B.
PM
PM is the abbreviation for the U.S. Department of State’s Bureau of Political-Military Affairs, which manages security assistance, defense trade, and political-military relations.
-
C.
PM
PM is the international vehicle registration code assigned to the French overseas collectivity of Saint Pierre and Miquelon.
-
D.
PM
PM is the standard abbreviation for *Principia Mathematica*, the landmark three-volume work on the foundations of mathematics and logic by Alfred North Whitehead and Bertrand Russell.
-
E.
PM
PM is a long-running BBC Radio 4 news and current affairs programme known for its in-depth reporting and analysis of the day's events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab99b1e48190afad1f073348b29a |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d97a3b08190b7a5c635d74bcd47 |
completed | March 3, 2026, 11:24 p.m. |
Created at: March 1, 2026, 7:38 p.m.