Triple
T15954668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afyonkarahisar Province |
E386902
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kızılören
Kızılören is a small town and district located in Afyonkarahisar Province in western Turkey.
|
E1185841
|
NE FINISHED |
How this triple was built (4 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: Kızılören | Statement: [Afyonkarahisar Province, hasCity, Kızılören]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kızılören Context triple: [Afyonkarahisar Province, hasCity, Kızılören]
-
A.
Kurukdere
Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
-
B.
Sarıyahşi
Sarıyahşi is a small town and district in central Turkey known for its agricultural activities and rural character.
-
C.
Kırcaali
Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
-
D.
Orlu
Orlu is a prominent town and commercial hub in southeastern Nigeria that serves as an important center for trade, industry, and regional administration.
-
E.
Çiçekdağı
Çiçekdağı is a town and district in central Turkey known for its rural Anatolian character within Kırşehir Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kızılören Triple: [Afyonkarahisar Province, hasCity, Kızılören]
Generated description
Kızılören is a small town and district located in Afyonkarahisar Province in western Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kızılören Target entity description: Kızılören is a small town and district located in Afyonkarahisar Province in western Turkey.
-
A.
Kurukdere
Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
-
B.
Sarıyahşi
Sarıyahşi is a small town and district in central Turkey known for its agricultural activities and rural character.
-
C.
Kırcaali
Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
-
D.
Orlu
Orlu is a prominent town and commercial hub in southeastern Nigeria that serves as an important center for trade, industry, and regional administration.
-
E.
Çiçekdağı
Çiçekdağı is a town and district in central Turkey known for its rural Anatolian character within Kırşehir Province.
- F. None of above. chosen
Provenance (5 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.