Triple
T11952714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of the English |
E284463
|
entity |
| Predicate | usedAsAlternativeTo |
P5887
|
FINISHED |
| Object | queen consort |
—
|
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: queen consort | Statement: [Lady of the English, usedAsAlternativeTo, queen consort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsAlternativeTo Context triple: [Lady of the English, usedAsAlternativeTo, queen consort]
-
A.
alternativeUsedBy
Indicates that one entity serves as an alternative option or substitute that is used in place of another entity.
-
B.
usedInsteadOf
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
-
C.
isAlternativeTo
chosen
Indicates that one entity can serve as a substitute or different option in place of another.
-
D.
isAlsoUsedAs
Indicates that something serves an additional function or role beyond its primary one.
-
E.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.