Triple
T277882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Opposition (United Kingdom) |
E5287
|
entity |
| Predicate | hasAllocatedTime |
P8474
|
FINISHED |
| Object | opposition days in the House of Commons calendar |
—
|
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: opposition days in the House of Commons calendar | Statement: [Official Opposition (United Kingdom), hasAllocatedTime, opposition days in the House of Commons calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllocatedTime Context triple: [Official Opposition (United Kingdom), hasAllocatedTime, opposition days in the House of Commons calendar]
-
A.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
B.
hasResidenceTime
Indicates the duration for which something remains or stays within a particular place, system, or state.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
hasTimeOfDay
Indicates that a situation, event, or state occurs during, or is associated with, a specific part of the day (e.g., morning, afternoon, evening, night).
-
E.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dee7830819087f153769a8496b9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2d94388190aeda17ddd42b4ac9 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.