Triple

T14227479
Position Surface form Disambiguated ID Type / Status
Subject Sangin, Helmand Province operations E352660 entity
Predicate location P40 FINISHED
Object Sangin E512987 NE FINISHED

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: Sangin | Statement: [Sangin, Helmand Province operations, location, Sangin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangin
Context triple: [Sangin, Helmand Province operations, location, Sangin]
  • A. Sangin chosen
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • B. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • C. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • D. Besisahar
    Besisahar is a town in Nepal’s Lamjung District that serves as a key gateway and transport hub for popular Himalayan trekking routes.
  • E. Ryti
    Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.