Triple
T13352434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yozgat |
E318101
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Yozgat Province |
E880728
|
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: Yozgat Province | Statement: [Yozgat, isPartOf, Yozgat Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yozgat Province Context triple: [Yozgat, isPartOf, Yozgat Province]
-
A.
Yozgat Province
chosen
Yozgat Province is a landlocked administrative region in central Turkey known for its rural landscapes, agriculture, and location within the Central Anatolia Region.
-
B.
Siirt Province
Siirt Province is a predominantly Kurdish-inhabited province in southeastern Turkey known for its mountainous terrain, traditional culture, and production of items like Siirt blanket and pistachios.
-
C.
Urgun District
Urgun District is an administrative district in southeastern Afghanistan known for its strategic location and role within Paktika Province.
-
D.
Töv Province
Töv Province is a central Mongolian administrative region surrounding the national capital, Ulaanbaatar, and serving as a key political and transportation hub.
-
E.
Murzuq District
Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306668288190ae8dc05ebadb4975 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:32 p.m.