Triple

T25392500
Position Surface form Disambiguated ID Type / Status
Subject Killa Saifullah District E636204 entity
Predicate borderingCountry P4999 FINISHED
Object Afghanistan E9744 NE FINISHED

How this triple was built (1 step)

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: Afghanistan | Statement: [Killa Saifullah District, borderingCountry, Afghanistan]

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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f565719b788190bece84e6c21ebd38 completed May 2, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075f4e0dc8190ba2e0d68b99a5d21 completed May 22, 2026, 3:27 p.m.
Created at: April 21, 2026, 1:49 p.m.