Triple
T11988824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malatya Province |
E285351
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Akçadağ
Akçadağ is a town and district in eastern Turkey known for its agricultural activities and location within Malatya Province.
|
E958492
|
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: Akçadağ | Statement: [Malatya Province, hasCity, Akçadağ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akçadağ Context triple: [Malatya Province, hasCity, Akçadağ]
-
A.
Kaçkar Dağı
Kaçkar Dağı is a prominent peak in northeastern Turkey renowned for its rugged alpine landscapes, glacial lakes, and popularity among hikers and mountaineers.
-
B.
Bozdağ
Bozdağ is a Turkish surname most notably associated with Bekir Bozdağ, a prominent Turkish politician and former government minister.
-
C.
Uludağ Mountain
Uludağ Mountain is a prominent peak in northwestern Turkey known for its national park, rich biodiversity, and major ski resort overlooking the city of Bursa.
-
D.
Palandöken
Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
-
E.
Kopet Dagh
Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
- 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: Akçadağ Triple: [Malatya Province, hasCity, Akçadağ]
Generated description
Akçadağ is a town and district in eastern Turkey known for its agricultural activities and location within Malatya Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akçadağ Target entity description: Akçadağ is a town and district in eastern Turkey known for its agricultural activities and location within Malatya Province.
-
A.
Kaçkar Dağı
Kaçkar Dağı is a prominent peak in northeastern Turkey renowned for its rugged alpine landscapes, glacial lakes, and popularity among hikers and mountaineers.
-
B.
Bozdağ
Bozdağ is a Turkish surname most notably associated with Bekir Bozdağ, a prominent Turkish politician and former government minister.
-
C.
Uludağ Mountain
Uludağ Mountain is a prominent peak in northwestern Turkey known for its national park, rich biodiversity, and major ski resort overlooking the city of Bursa.
-
D.
Palandöken
Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
-
E.
Kopet Dagh
Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f472492ebc8190b064e691bb70e356 |
completed | May 1, 2026, 9:28 a.m. |
| NEDg | Description generation | batch_69f47b7c5af08190ab0bff1232530a0c |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47dd51e648190bddd41766221e22d |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.