Triple
T37059024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free municipal consortium of Trapani |
E917269
|
entity |
| Predicate | formerEntityType |
P16344
|
FINISHED |
| Object | province |
—
|
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: province | Statement: [Free municipal consortium of Trapani, formerEntityType, province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerEntityType Context triple: [Free municipal consortium of Trapani, formerEntityType, province]
-
A.
formerType
chosen
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
B.
isFormerEntity
Indicates that an entity previously held a particular status, role, or identity but no longer does so.
-
C.
identifiesEntityType
Indicates that one entity specifies or determines the type or category to which another entity belongs.
-
D.
includedEntityType
Indicates that one entity type is contained within, or forms a component part of, another entity type.
-
E.
documentedEntityType
Indicates that an entity has been documented as belonging to a specific type or category.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00bf5990e08190a8b633e237656564 |
completed | May 10, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_6a00beef4f5881909b00ac89e6af5902 |
completed | May 10, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:14 p.m.