Triple
T16052702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buccari |
E389394
|
entity |
| Predicate | hasAlternativeRole |
P6239
|
FINISHED |
| Object | place name in noble style and title |
—
|
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: place name in noble style and title | Statement: [Buccari, hasAlternativeRole, place name in noble style and title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeRole Context triple: [Buccari, hasAlternativeRole, place name in noble style and title]
-
A.
hasAlternativeReferent
Indicates that an entity can also be referred to or identified by an alternative name, label, or reference.
-
B.
hasAuxiliaryRole
chosen
Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
-
C.
hasAlternativeBearers
Indicates that an entity can be carried, represented, or borne by more than one possible bearer or carrier as alternatives.
-
D.
hasAlternativeMultiplierChoice
Indicates that an entity is associated with one or more alternative options for a multiplier that can be chosen instead of a default value.
-
E.
hasAlternativeBoard
Indicates that an entity is associated with a different or substitute governing or decision-making board from the primary one.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.