Triple
T10258971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavier quartos |
E240544
|
entity |
| Predicate | areSometimesDescribedAs |
P21265
|
FINISHED |
| Object | Pavier–Jaggard quartos |
—
|
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: Pavier–Jaggard quartos | Statement: [Pavier quartos, areSometimesDescribedAs, Pavier–Jaggard quartos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areSometimesDescribedAs Context triple: [Pavier quartos, areSometimesDescribedAs, Pavier–Jaggard quartos]
-
A.
isFrequentlyDescribedAs
chosen
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
B.
officiallyDescribedAs
Indicates that an entity is formally characterized or defined using a specific description in an official or authoritative context.
-
C.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
D.
eraDescribed
Indicates that a subject provides a description or characterization of a particular historical or temporal era.
-
E.
moreAccuratelyDescribedAs
Indicates that one entity is a more precise or correct description, label, or characterization of another entity than an alternative.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:31 a.m.