Triple
T36495738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sant Antoni de Vilamajor |
E899181
|
entity |
| Predicate | hasMunicipalTerm |
P197279
|
FINISHED |
| Object | includes rural and forest areas |
—
|
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: includes rural and forest areas | Statement: [Sant Antoni de Vilamajor, hasMunicipalTerm, includes rural and forest areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalTerm Context triple: [Sant Antoni de Vilamajor, hasMunicipalTerm, includes rural and forest areas]
-
A.
hasMunicipalCouncilTerm
Indicates that a municipal council serves or holds office during a specified term or period.
-
B.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
C.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
D.
hasMayorTerm
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
-
E.
hasMunicipalCouncilUntil
Indicates that a municipal council served as the governing body of an entity up to a specified end date or point in time.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
| PDg | Predicate description generation | batch_69fe831ba4708190a5564afd7d5a4319 |
completed | May 9, 2026, 12:43 a.m. |
Created at: May 3, 2026, 4:10 p.m.