Triple
T26762440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Temporal |
E674840
|
entity |
| Predicate | typicalSourceOfMembership |
P69474
|
FINISHED |
| Object | peerage of the United Kingdom |
—
|
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: peerage of the United Kingdom | Statement: [Lord Temporal, typicalSourceOfMembership, peerage of the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSourceOfMembership Context triple: [Lord Temporal, typicalSourceOfMembership, peerage of the United Kingdom]
-
A.
membershipOrigin
chosen
Indicates the source or basis from which an entity’s membership in a group, organization, or category is derived.
-
B.
membershipIndicatedBy
Indicates that an entity’s membership in a group, set, or organization is evidenced, signaled, or made known by another entity or attribute.
-
C.
scopeOfMembership
Indicates the range, domain, or extent within which a particular membership relationship is valid or applies.
-
D.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
E.
membershipRecordedBy
Indicates that the recording or documentation of a membership was carried out or created by a specific agent or system.
- 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 27, 2026, 3:58 a.m.