Triple
T15779723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uşak Province |
E382580
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sivaslı District |
E1177506
|
NE 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: Sivaslı District | Statement: [Uşak Province, contains, Sivaslı District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sivaslı District Context triple: [Uşak Province, contains, Sivaslı District]
-
A.
Gurbuz District
Gurbuz District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
-
B.
Tunceli District
Tunceli District is an administrative district in eastern Turkey that encompasses the provincial capital and surrounding areas of Tunceli Province.
-
C.
Yıldırım District
Yıldırım District is an administrative district of Bursa, Turkey, known for encompassing the historic Ottoman-era village of Cumalıkızık.
-
D.
Karahallı District
chosen
Karahallı District is an administrative district in western Turkey known for its rural settlements and local agricultural activities within Uşak Province.
-
E.
Keçiören district
Keçiören district is a populous residential and commercial area in the northern part of Ankara, Turkey, known for its dense urban development and role as a major suburban hub of the capital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e053fea90081908e3fe4f91475bead |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9987140c8190a50da103905a7930 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.