Triple
T7429299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turgut Özal |
E171447
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Turgut |
E395596
|
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: Turgut | Statement: [Turgut Özal, givenName, Turgut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turgut Context triple: [Turgut Özal, givenName, Turgut]
-
A.
Turgut
chosen
Turgut is a masculine Turkish given name most notably borne by the influential modernist poet Turgut Uyar.
-
B.
Uluç Ali Reis
Uluç Ali Reis was a 16th-century Ottoman admiral and corsair of Italian origin who rose to become Kapudan Pasha (grand admiral) of the Ottoman fleet and distinguished himself at the Battle of Lepanto.
-
C.
Turgut Reis
Turgut Reis was a renowned 16th-century Ottoman admiral and corsair, famed for his naval campaigns across the Mediterranean and his role in major conflicts against European powers.
-
D.
Murat
Murat is a historic small town in south-central France, known for its volcanic landscape setting in the Cantal region and its traditional stone architecture.
-
E.
Gaziosmanpaşa
Gaziosmanpaşa is a densely populated residential and commercial district on the European side of Istanbul, known for its rapid urbanization and diverse working- and middle-class communities.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3082f188190af5673d18ac7e87e |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f135a348190ae9edc02a19b2278 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.