Triple
T11736818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsun Province |
E279047
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Yakakent
Yakakent is a coastal district and town on the Black Sea in northern Turkey’s Samsun Province, known for its fishing and seaside tourism.
|
E944362
|
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: Yakakent | Statement: [Samsun Province, hasDistrict, Yakakent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yakakent Context triple: [Samsun Province, hasDistrict, Yakakent]
-
A.
Yackan
Yackan is an alternative name for the Yakan, an indigenous ethnolinguistic group from the island of Basilan in the southern Philippines known for their weaving and distinct cultural traditions.
-
B.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
C.
Wukari
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
-
D.
Arykanda
Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
-
E.
Kahuta
Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
- 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: Yakakent Triple: [Samsun Province, hasDistrict, Yakakent]
Generated description
Yakakent is a coastal district and town on the Black Sea in northern Turkey’s Samsun Province, known for its fishing and seaside tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yakakent Target entity description: Yakakent is a coastal district and town on the Black Sea in northern Turkey’s Samsun Province, known for its fishing and seaside tourism.
-
A.
Yackan
Yackan is an alternative name for the Yakan, an indigenous ethnolinguistic group from the island of Basilan in the southern Philippines known for their weaving and distinct cultural traditions.
-
B.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
C.
Wukari
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
-
D.
Arykanda
Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
-
E.
Kahuta
Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019b318188190bfb7effcf42974d2 |
completed | April 28, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69f0319271788190a105828ae7582668 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05aa351888190a31092e6a9aee26b |
completed | April 28, 2026, 6:58 a.m. |
Created at: April 8, 2026, 9:41 p.m.