Triple
T16544661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syndic of Monthey |
E401910
|
entity |
| Predicate | hasLocalEquivalentTitle |
P46701
|
FINISHED |
| Object | mayor of Monthey |
—
|
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: mayor of Monthey | Statement: [Syndic of Monthey, hasLocalEquivalentTitle, mayor of Monthey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalEquivalentTitle Context triple: [Syndic of Monthey, hasLocalEquivalentTitle, mayor of Monthey]
-
A.
equivalentOrRelatedTitle
chosen
Indicates that two titles are the same or sufficiently similar in meaning, role, or status to be treated as equivalent or closely related.
-
B.
hasAlternateTitleRegion
Indicates that an entity has an alternate title that is specifically used or valid within a particular geographic region.
-
C.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
D.
equivalentTitleInUnitedKingdom
Indicates that one entity has a title that is considered the equivalent of another entity’s title specifically within the context of the United Kingdom.
-
E.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.