Triple
T11099723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selçuk |
E262471
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Turkey |
E1845
|
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: Turkey | Statement: [Selçuk, partOf, Turkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turkey Context triple: [Selçuk, partOf, Turkey]
-
A.
Turkey
chosen
Turkey is a transcontinental nation bridging Europe and Asia, known for its strategic geopolitical position, rich Ottoman and Anatolian heritage, and role as a key regional power and NATO member.
-
B.
Turkey
Turkey Stearnes was a Hall of Fame Negro Leagues baseball outfielder renowned for his powerful hitting and all-around excellence in the early 20th century.
-
C.
Turki
Turki is a historical Turkic language associated with Central Asian and Mughal courts, used as a literary and administrative tongue across various Turkic-speaking regions.
-
D.
European Turkey
European Turkey is the small, geographically European part of Turkey that includes the region of Eastern Thrace and contains major cities such as Istanbul and Edirne.
-
E.
Osmanya
Osmanya is a Unicode block containing characters of the Osmanya alphabet, which was devised in the 20th century for writing the Somali language.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0c46308190889b94c23ebaca62 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7eca9bc8190b43bae081d97d804 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.