Triple
T28377432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mace of the House of Commons |
E718789
|
entity |
| Predicate | statusWhenHouseNotInSession |
P190335
|
FINISHED |
| Object | placed under the Clerk’s Table |
—
|
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: placed under the Clerk’s Table | Statement: [Mace of the House of Commons, statusWhenHouseNotInSession, placed under the Clerk’s Table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusWhenHouseNotInSession Context triple: [Mace of the House of Commons, statusWhenHouseNotInSession, placed under the Clerk’s Table]
-
A.
statusWhenHouseInSession
Indicates the status or condition that applies specifically during the time when a legislative house is in session.
-
B.
orientationWhenHouseNotInSession
Indicates the orientation or alignment of something during periods when the legislative house is not in session.
-
C.
statusInHouse
Indicates the specific role, position, or standing an entity holds within a particular house or household.
-
D.
stateHouseStatus
Indicates the current condition, operational state, or functional status of a state-level legislative house.
-
E.
inSessionDuring
Indicates that an entity is actively engaged in or part of a session throughout a specified time period.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: April 28, 2026, 1:04 a.m.