Triple
T1515843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Territory of Trieste |
E32115
|
entity |
| Predicate | governorActuallyAppointed |
P8673
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Free Territory of Trieste, governorActuallyAppointed, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorActuallyAppointed Context triple: [Free Territory of Trieste, governorActuallyAppointed, false]
-
A.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
B.
appointedByOffice
Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
-
C.
hadGovernor
chosen
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
-
D.
officeAssumedAsLieutenantGovernor
Indicates that an individual has formally taken on and begun serving in the role of lieutenant governor.
-
E.
appointedFrom
Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.