Triple
T13266236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aydın Province |
E315931
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object |
Germencik
Germencik is a town and district in western Turkey known for its agricultural production and geothermal resources within Aydın Province.
|
E1088160
|
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: Germencik | Statement: [Aydın Province, containsDistrict, Germencik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germencik Context triple: [Aydın Province, containsDistrict, Germencik]
-
A.
Orhangazi
Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa Province.
-
B.
Gönen
Gönen is a town and district in northwestern Turkey known for its thermal springs and textile industry, located within Balıkesir Province.
-
C.
Bigadiç
Bigadiç is a town and district in western Turkey known for its rich boron mineral deposits and agricultural production within Balıkesir Province.
-
D.
Malkara
Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
-
E.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
- 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: Germencik Triple: [Aydın Province, containsDistrict, Germencik]
Generated description
Germencik is a town and district in western Turkey known for its agricultural production and geothermal resources within Aydın Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Germencik Target entity description: Germencik is a town and district in western Turkey known for its agricultural production and geothermal resources within Aydın Province.
-
A.
Orhangazi
Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa Province.
-
B.
Gönen
Gönen is a town and district in northwestern Turkey known for its thermal springs and textile industry, located within Balıkesir Province.
-
C.
Bigadiç
Bigadiç is a town and district in western Turkey known for its rich boron mineral deposits and agricultural production within Balıkesir Province.
-
D.
Malkara
Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
-
E.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901e44bc8190966f87ae219d6bf4 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f0e59c8190b40213e999c75feb |
completed | May 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69fd2b2363f881909e04edd850166dd5 |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2cf1a1248190a97644dadf1717bc |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 9, 2026, 9:25 p.m.