Triple
T1097089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lords Spiritual in the House of Lords |
E24293
|
entity |
| Predicate | isUnelected |
P2225
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lords Spiritual in the House of Lords, isUnelected, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUnelected Context triple: [Lords Spiritual in the House of Lords, isUnelected, true]
-
A.
appointedOrElected
Indicates that an entity attained a position, role, or office through either an appointment process or an electoral process.
-
B.
electoralStatus
chosen
Indicates the current state or condition of an entity in relation to an election process (e.g., running, elected, defeated, or not a candidate).
-
C.
couldElect
Indicates that one entity has the potential or ability, under certain conditions or rules, to choose another entity for an office, role, or position through an election.
-
D.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
-
E.
electedWith
Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
- F. None of above.
Provenance (3 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9a1d3108190b2a304fef429848d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.