Triple
T35363549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karaköse |
E1021562
|
entity |
| Predicate | wasOfficialNameOf |
P62748
|
FINISHED |
| Object | Ağrı |
—
|
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: Ağrı | Statement: [Karaköse, wasOfficialNameOf, Ağrı]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOfficialNameOf Context triple: [Karaköse, wasOfficialNameOf, Ağrı]
-
A.
formerOfficialNameOf
chosen
Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
-
B.
laterOfficialName
Indicates that an entity was known by one name at an earlier time and was officially renamed to a different name at a later time.
-
C.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
D.
currentOfficialNameSince
Indicates the date or time from which an entity has borne its current official name.
-
E.
refersToOfficialName
Indicates that one entity is referencing or using the formally recognized, official name of another entity.
- F. None of above.
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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.