Triple
T14512368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman Province |
E340428
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Beşiri
Beşiri is a town and district in southeastern Turkey known for its predominantly Kurdish population and location within Batman Province.
|
E1102722
|
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: Beşiri | Statement: [Batman Province, hasCity, Beşiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beşiri Context triple: [Batman Province, hasCity, Beşiri]
-
A.
Birsay
Birsay is a coastal parish and village area on the northwest of Orkney Mainland in Scotland, known for its rich Norse history and archaeological sites.
-
B.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
C.
Busia
Busia is a Ghanaian surname most prominently associated with Kofi Abrefa Busia, a former Prime Minister of Ghana and influential political leader.
-
D.
Busia
Busia is a prominent border town in eastern Uganda that serves as a major commercial and transit hub between Uganda and Kenya.
-
E.
Kasibu
Kasibu is a rural municipality in the province of Nueva Vizcaya in the Philippines, known for its mountainous terrain and agricultural economy.
- 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: Beşiri Triple: [Batman Province, hasCity, Beşiri]
Generated description
Beşiri is a town and district in southeastern Turkey known for its predominantly Kurdish population and location within Batman Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beşiri Target entity description: Beşiri is a town and district in southeastern Turkey known for its predominantly Kurdish population and location within Batman Province.
-
A.
Birsay
Birsay is a coastal parish and village area on the northwest of Orkney Mainland in Scotland, known for its rich Norse history and archaeological sites.
-
B.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
C.
Busia
Busia is a Ghanaian surname most prominently associated with Kofi Abrefa Busia, a former Prime Minister of Ghana and influential political leader.
-
D.
Busia
Busia is a prominent border town in eastern Uganda that serves as a major commercial and transit hub between Uganda and Kenya.
-
E.
Kasibu
Kasibu is a rural municipality in the province of Nueva Vizcaya in the Philippines, known for its mountainous terrain and agricultural economy.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da48b2c8190a906965a7ebcb607 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f94fd608190bf874869ff15fdf5 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7041102c8190bc6f3d3011004d7a |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 10, 2026, 1:21 a.m.