Triple
T2954559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woolsack |
E79900
|
entity |
| Predicate | positionInChamber |
P45158
|
FINISHED |
| Object | center of the House of Lords chamber |
—
|
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: center of the House of Lords chamber | Statement: [Woolsack, positionInChamber, center of the House of Lords chamber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInChamber Context triple: [Woolsack, positionInChamber, center of the House of Lords chamber]
-
A.
appliesToChamber
Indicates that something is relevant or specifically associated with a particular chamber (such as a room, legislative body, or compartment).
-
B.
chamberedFor
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
-
C.
hasChamberAbove
Indicates that one chamber is positioned vertically above another chamber in a spatial or structural arrangement.
-
D.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
-
E.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98ff874c81908077a90fdc5e8549 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.