Triple
T11978365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menderes |
E285092
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gümüldür
Gümüldür is a coastal neighborhood and popular seaside resort area in the Menderes district of İzmir Province, Turkey.
|
E1009452
|
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: Gümüldür | Statement: [Menderes, contains, Gümüldür]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gümüldür Context triple: [Menderes, contains, Gümüldür]
-
A.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
-
B.
Doğubayazıt
Doğubayazıt is a town in eastern Turkey near the Iranian border, known as a gateway to Mount Ararat and for its historic Ishak Pasha Palace.
-
C.
Karabük
Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
-
D.
Reyhanlı
Reyhanlı is a town and district in southern Turkey near the Syrian border, known for its strategic location and cross-border trade and tensions.
-
E.
Cizre
Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
- 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: Gümüldür Triple: [Menderes, contains, Gümüldür]
Generated description
Gümüldür is a coastal neighborhood and popular seaside resort area in the Menderes district of İzmir Province, Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gümüldür Target entity description: Gümüldür is a coastal neighborhood and popular seaside resort area in the Menderes district of İzmir Province, Turkey.
-
A.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
-
B.
Doğubayazıt
Doğubayazıt is a town in eastern Turkey near the Iranian border, known as a gateway to Mount Ararat and for its historic Ishak Pasha Palace.
-
C.
Karabük
Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
-
D.
Reyhanlı
Reyhanlı is a town and district in southern Turkey near the Syrian border, known for its strategic location and cross-border trade and tensions.
-
E.
Cizre
Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a52fcfa081909cc312a56bf12693 |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a616f6e4819096c9850434882548 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a716bb2c81909dccc5ddbf3c92b5 |
completed | May 3, 2026, 1:38 a.m. |
Created at: April 8, 2026, 9:46 p.m.