Triple
T7281682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muazzez İlmiye Çığ |
E163163
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Muazzez İlmiye Çığ |
E163163
|
NE FINISHED |
How this triple was built (2 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: Muazzez İlmiye Çığ | Statement: [Muazzez İlmiye Çığ, name, Muazzez İlmiye Çığ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muazzez İlmiye Çığ Context triple: [Muazzez İlmiye Çığ, name, Muazzez İlmiye Çığ]
-
A.
Muazzez İlmiye Çığ
chosen
Muazzez İlmiye Çığ is a renowned Turkish archaeologist and Sumerologist known for her pioneering work on cuneiform tablets and the history of ancient Mesopotamia.
-
B.
Yıldırım
Yıldırım is the epithet of Ottoman sultan Bayezid I, renowned for his swift and aggressive military campaigns that rapidly expanded the empire.
-
C.
Elmadağ
Elmadağ is a district and town in central Turkey known for its mountainous terrain and proximity to the capital city, Ankara.
-
D.
Palandöken
Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
-
E.
Borusa
Borusa is a powerful and politically influential Time Lord from Gallifrey in the Doctor Who universe, known for his complex relationship with the Doctor and his eventual downfall.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb34fe0c8190a642fd3339f0cacd |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db379e1c81908ebd4c44504ce5fb |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.