Triple
T32390937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valsugana valley |
E827670
|
entity |
| Predicate | extendsIntoProvince |
P174021
|
FINISHED |
| Object | Province of Vicenza |
—
|
NE NERFINISHED |
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 of Vicenza | Statement: [Valsugana valley, extendsIntoProvince, Province of Vicenza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendsIntoProvince Context triple: [Valsugana valley, extendsIntoProvince, Province of Vicenza]
-
A.
plannedExtensionProvince
Indicates that a planned extension or expansion is intended to occur within the specified province.
-
B.
endProvince
Indicates that an entity marks the boundary or final extent of a province within a larger territorial or administrative structure.
-
C.
joinedAsProvince
Indicates that an entity became part of a larger political or administrative unit with the status of a province.
-
D.
isProvincial
Indicates that something belongs to, is characteristic of, or is administered at the level of a province rather than a national or local level.
-
E.
settingProvince
Indicates that an entity is located in, associated with, or belongs to a particular province as its setting.
- F. None of above. chosen
Provenance (4 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1d9a0848190b39120e9d669b8a5 |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:52 a.m.