Triple
T33717117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kang District |
E863904
|
entity |
| Predicate | countryCapitalOfContainingCountry |
P67831
|
FINISHED |
| Object | Kabul |
—
|
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: Kabul | Statement: [Kang District, countryCapitalOfContainingCountry, Kabul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalOfContainingCountry Context triple: [Kang District, countryCapitalOfContainingCountry, Kabul]
-
A.
countryCapitalLocatedIn
Indicates that the capital city of a country is geographically situated within that country.
-
B.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
C.
countryCapitalLocatedWithin
Indicates that the capital city of a country is geographically situated within the boundaries of that country.
-
D.
countryCapitalRelation
chosen
Indicates that one entity is the capital city of the country represented by the other entity.
-
E.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
- 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00ca5e907481909d391afd55938a1b |
completed | May 10, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a00ca2214348190a674a85ede709e2e |
completed | May 10, 2026, 6:10 p.m. |
Created at: May 1, 2026, 1:44 a.m.