Triple

T33063354
Position Surface form Disambiguated ID Type / Status
Subject Islam Qala District E846029 entity
Predicate capitalOfBorderCrossingArea P14205 FINISHED
Object Islam Qala 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: Islam Qala | Statement: [Islam Qala District, capitalOfBorderCrossingArea, Islam Qala]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capitalOfBorderCrossingArea
Context triple: [Islam Qala District, capitalOfBorderCrossingArea, Islam Qala]
  • A. borderingCountryCapital
    Indicates that the subject is the capital city of a country that shares a land border with the country of the object capital city.
  • B. servesAsMainPortOfEntryFor
    Indicates that one location functions as the primary gateway or access point through which another entity typically enters a region or system.
  • C. isMajorBorderCrossing
    Indicates that a location or route serves as a primary, high-traffic crossing point between two bordering regions or countries.
  • D. countryCapitalPort
    Indicates that a city serves simultaneously as the capital and a principal port of a given country.
  • E. crossBorderFacilityLocatedIn chosen
    Indicates that a cross-border facility is geographically situated within a specified territorial or administrative area.
  • 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_69f3495333b8819095e9af56855b9061 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd485f57dc8190820365396d041991 completed May 8, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69fd47d35da081908bec8901018d186c completed May 8, 2026, 2:17 a.m.
Created at: May 1, 2026, 1:25 a.m.