Triple

T11456647
Position Surface form Disambiguated ID Type / Status
Subject Passu E271543 entity
Predicate locatedNear P294 FINISHED
Object Sost E925657 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: Sost | Statement: [Passu, locatedNear, Sost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sost
Context triple: [Passu, locatedNear, Sost]
  • A. Sost chosen
    Sost is a village in northern Pakistan’s Hunza region that serves as a key border town and trade gateway on the Karakoram Highway near the China–Pakistan border.
  • B. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • E. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c71b1208190be1d5623d18e0222 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e903781881908e96c66ecfca2911 completed April 20, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:35 p.m.