Triple
T14714440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seyhan River |
E345639
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Adana |
E275579
|
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: Adana | Statement: [Seyhan River, nearCity, Adana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adana Context triple: [Seyhan River, nearCity, Adana]
-
A.
Adana
chosen
Adana is a major city in southern Turkey known as an important agricultural, industrial, and transportation hub of the Çukurova region.
-
B.
Antakya
Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
-
C.
Adana Vilayet
Adana Vilayet was an administrative province of the Ottoman Empire in southern Anatolia, centered on the city of Adana and encompassing parts of the historic Cilicia region.
-
D.
Havsa
Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
-
E.
Mardin
Mardin is a historic city in southeastern Turkey known for its terraced stone architecture, diverse ethnic and religious heritage, and commanding views over the Mesopotamian plains.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ee4284819093db172023e9fe87 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:29 a.m.