Triple
T2278622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmet Ali Ağca |
E51229
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Hekimhan
Hekimhan is a town and district in Malatya Province in eastern Turkey.
|
E251068
|
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: Hekimhan | Statement: [Mehmet Ali Ağca, placeOfBirth, Hekimhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hekimhan Context triple: [Mehmet Ali Ağca, placeOfBirth, Hekimhan]
-
A.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
-
B.
Malhun Hatun
Malhun Hatun was a prominent figure in early Ottoman history, traditionally regarded as one of the wives of Osman I and the mother of his successor, Orhan.
-
C.
Müveddet Kadın
Müveddet Kadın was a consort of the last Ottoman sultan, Mehmed VI, and a member of the late Ottoman imperial harem.
-
D.
Emine
Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
-
E.
Handan
Handan is a historic industrial city in southern Hebei Province, China, known as a former capital of the ancient State of Zhao and an important regional transportation and manufacturing hub.
- 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: Hekimhan Triple: [Mehmet Ali Ağca, placeOfBirth, Hekimhan]
Generated description
Hekimhan is a town and district in Malatya Province in eastern Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hekimhan Target entity description: Hekimhan is a town and district in Malatya Province in eastern Turkey.
-
A.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
-
B.
Malhun Hatun
Malhun Hatun was a prominent figure in early Ottoman history, traditionally regarded as one of the wives of Osman I and the mother of his successor, Orhan.
-
C.
Müveddet Kadın
Müveddet Kadın was a consort of the last Ottoman sultan, Mehmed VI, and a member of the late Ottoman imperial harem.
-
D.
Emine
Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
-
E.
Handan
Handan is a historic industrial city in southern Hebei Province, China, known as a former capital of the ancient State of Zhao and an important regional transportation and manufacturing hub.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc217b6648190be77d2176d322efd |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e2a17081908539717619ad7187 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae75ba1a988190ba59d3ce5e5c39a8 |
completed | March 9, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76246f6c81909a15262d2c4ea975 |
completed | March 9, 2026, 7:26 a.m. |
Created at: March 4, 2026, 7:48 p.m.