Triple
T30515550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kird |
E776554
|
entity |
| Predicate | countryOfReferencedGroup |
P179878
|
FINISHED |
| Object | Turkey |
—
|
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: Turkey | Statement: [Kird, countryOfReferencedGroup, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfReferencedGroup Context triple: [Kird, countryOfReferencedGroup, Turkey]
-
A.
countryOfReferent
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
-
B.
relatedCountryGroup
Indicates that there is an association or linkage between an entity and a specific group of countries.
-
C.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
D.
nationalityOrGroup
Indicates that an entity belongs to, is associated with, or is identified as a member of a particular nation, ethnic group, or cultural community.
-
E.
groupCountry
chosen
Indicates that a group or organization is associated with, based in, or belongs to a particular country.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: April 29, 2026, 8:16 p.m.