Triple
T7281684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muazzez İlmiye Çığ |
E163163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Çığ | Statement: [Muazzez İlmiye Çığ, familyName, Çığ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çığ Context triple: [Muazzez İlmiye Çığ, familyName, 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.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
C.
Talgje
Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
-
D.
Eistau
Eistau is a novel by Ilija Trojanow that explores themes of climate change, environmental destruction, and human responsibility through the story of a glaciologist witnessing the disappearance of the ice he studies.
-
E.
Buir
Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
- 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.