Triple
T25124146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seferihisar |
E629347
|
entity |
| Predicate | isCittaslowMember |
P157948
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Seferihisar, isCittaslowMember, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCittaslowMember Context triple: [Seferihisar, isCittaslowMember, true]
-
A.
hasMemberMunicipality
Indicates that an administrative region or governing body includes a specific municipality as one of its constituent members.
-
B.
isCharterMemberOf
Indicates that an entity is an original or founding member of a group, organization, or institution at the time it was established.
-
C.
isInHistoricCenterOf
Indicates that one entity is located within the historic center area of another entity (typically a city or town).
-
D.
isLocatedInMetropolitanCity
Indicates that an entity is situated within a metropolitan city area.
-
E.
isTraditionalClubIn
Indicates that a club is traditionally associated with or located in a particular place or region.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465ce28888190a6dfda390e112947 |
completed | May 1, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:28 a.m.