Triple
T1259107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Keynes of Tilton |
E12457
|
entity |
| Predicate | hasPeerageType |
P26323
|
FINISHED |
| Object | life tenure for first holder only |
—
|
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: life tenure for first holder only | Statement: [Baron Keynes of Tilton, hasPeerageType, life tenure for first holder only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeerageType Context triple: [Baron Keynes of Tilton, hasPeerageType, life tenure for first holder only]
-
A.
typeOfPeerage
Indicates the specific rank or category within a system of peerage that a given title or noble status belongs to.
-
B.
peerageSystem
Indicates a hierarchical system of noble ranks and titles that defines relative status and privileges among members of a nobility.
-
C.
regionOfPeerage
Indicates the geographic region or territorial area associated with a particular peerage title or rank.
-
D.
rankRelativeToPeerage
Indicates how an entity’s hierarchical rank compares to that of a specified peer or peer group within a defined ranking system.
-
E.
rankInBritishPeerageSystem
Indicates the specific noble title or level an entity holds within the hierarchical structure of the British peerage system.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc3a2848190891e73b351019d5b |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd98b62c8190a5f6710345c0537d |
completed | March 1, 2026, 10:28 p.m. |
Created at: March 1, 2026, 7:50 p.m.