Triple
T25532931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İslamköy |
E639970
|
entity |
| Predicate | hasSmallerAdministrativeUnitName |
P144961
|
FINISHED |
| Object | Atabey |
—
|
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: Atabey | Statement: [İslamköy, hasSmallerAdministrativeUnitName, Atabey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallerAdministrativeUnitName Context triple: [İslamköy, hasSmallerAdministrativeUnitName, Atabey]
-
A.
hasLowerRankAdministrativeDivision
chosen
Indicates that one administrative division is hierarchically subordinate to another within an administrative ranking system.
-
B.
hasEponymousAdministrativeDivision
Indicates that an entity gives its name to an administrative division (such as a city, region, or district) that is named after it.
-
C.
isAdministrativeDivision
Indicates that one entity functions as an official administrative subdivision or jurisdiction within the governance structure of another entity.
-
D.
hasSubunitName
Indicates that an entity includes or is associated with a named subunit or component as part of its structure or organization.
-
E.
hasSubdivisionName3
Indicates that an entity has a third-level subdivision whose name is given by the associated value.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8647db4819098ab7374a151f6e6 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 3:15 p.m.