Triple
T19844202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niksar |
E476813
|
entity |
| Predicate | wasPartOf |
P35
|
FINISHED |
| Object | Danishmendids |
—
|
NE NERFINISHED |
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: Danishmendids | Statement: [Niksar, wasPartOf, Danishmendids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danishmendids Context triple: [Niksar, wasPartOf, Danishmendids]
-
A.
Danishmendids
chosen
The Danishmendids were a medieval Turkish dynasty that ruled parts of Anatolia in the 11th–12th centuries and frequently clashed with the Crusader states.
-
B.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
-
C.
Danes
The Danes are a North Germanic people historically associated with the kingdom of Denmark, known for their Viking heritage and later development of a modern Scandinavian nation.
-
D.
Dekernes
Dekernes is a town in Egypt’s Nile Delta region that serves as one of the principal urban centers of Dakahlia Governorate.
-
E.
Diemtigen
Diemtigen is a Swiss municipality in the Bernese Oberland known for its traditional wooden farmhouses and alpine landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658085a148190a305bde0897dfe84 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.