Triple
T38483968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Home of the Hirsel |
E917861
|
entity |
| Predicate | holderChamberBeforeCreation |
P191168
|
FINISHED |
| Object | House of Commons |
—
|
NE NERFINISHED |
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: House of Commons | Statement: [Baron Home of the Hirsel, holderChamberBeforeCreation, House of Commons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderChamberBeforeCreation Context triple: [Baron Home of the Hirsel, holderChamberBeforeCreation, House of Commons]
-
A.
chamberedFor
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
-
B.
namedForChamber
Indicates that one entity is named after, or in honor of, a particular chamber (such as a legislative or deliberative body).
-
C.
belongsToChamber
Indicates that an entity is a member of, or is formally associated with, a specific chamber or legislative body.
-
D.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
-
E.
includesChamber
Indicates that one entity contains or encompasses a specific chamber as part of its structure or composition.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:31 p.m.