Triple

T18369700
Position Surface form Disambiguated ID Type / Status
Subject Astore River E446147 entity
Predicate nearbySettlement P350 FINISHED
Object Astore 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: Astore | Statement: [Astore River, nearbySettlement, Astore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astore
Context triple: [Astore River, nearbySettlement, Astore]
  • A. Astore
    Astore is a mountainous valley and town in the Gilgit-Baltistan region of northern Pakistan, known as a gateway to the Himalayas and nearby Nanga Parbat.
  • B. Astoreth
    Astoreth is a variant name for the ancient Near Eastern goddess Astarte, associated with fertility, sexuality, and war in various Semitic religions.
  • C. Almazán
    Almazán is a historic town in the province of Soria, Castile and León, Spain, known for its medieval heritage and role in regional political agreements.
  • D. Astore (town) chosen
    Astore is a small town in northern Pakistan that serves as the administrative and commercial center of the mountainous Astore Valley in Gilgit-Baltistan.
  • E. Fair Store
    Fair Store was a pioneering Chicago department store building designed by architect William Le Baron Jenney, often associated with the early development of skyscraper architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51751e4288190873bcc4dc140ac16 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:43 a.m.