Triple
T1838624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Commons chamber |
E41121
|
entity |
| Predicate | governmentBenchesLocation |
P33977
|
FINISHED |
| Object | to the Speaker’s right |
—
|
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: to the Speaker’s right | Statement: [House of Commons chamber, governmentBenchesLocation, to the Speaker’s right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentBenchesLocation Context triple: [House of Commons chamber, governmentBenchesLocation, to the Speaker’s right]
-
A.
numberOfPettyBenches
Indicates the quantity of petty benches associated with or present in relation to a given entity.
-
B.
gatheringPlace
Indicates a location where entities come together or assemble, typically for a shared activity, purpose, or event.
-
C.
governingBodyNearby
Indicates that a governing body is located in close physical proximity to the referenced entity or area.
-
D.
findingOnFacilities
Indicates a relationship where an inspection or assessment identifies a specific issue, observation, or result associated with particular facilities.
-
E.
placesWithin
Indicates that one place or area is located entirely inside the boundaries of another place or area.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.