Triple
T9815428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakarya Province |
E238390
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Pamukova
Pamukova is a town and district in northwestern Turkey known for its agricultural production and location within Sakarya Province.
|
E823357
|
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: Pamukova | Statement: [Sakarya Province, hasCity, Pamukova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamukova Context triple: [Sakarya Province, hasCity, Pamukova]
-
A.
Kumluova
Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
-
B.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
C.
Balka
Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
-
D.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
-
E.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
- 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: Pamukova Triple: [Sakarya Province, hasCity, Pamukova]
Generated description
Pamukova is a town and district in northwestern Turkey known for its agricultural production and location within Sakarya Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamukova Target entity description: Pamukova is a town and district in northwestern Turkey known for its agricultural production and location within Sakarya Province.
-
A.
Kumluova
Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
-
B.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
C.
Balka
Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
-
D.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
-
E.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f341648190bf8343e1124085cb |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc6c64dc8190979be34255dc22e5 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cf7ce46c8190a7383086eb667b51 |
completed | April 5, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d0034dc081908182e3f873a2c584 |
completed | April 5, 2026, 2:59 a.m. |
Created at: March 30, 2026, 8:30 p.m.