Triple

T16860736
Position Surface form Disambiguated ID Type / Status
Subject GB E409902 entity
Predicate contains P35 FINISHED
Object Skardu E88385 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: Skardu | Statement: [GB, contains, Skardu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skardu
Context triple: [GB, contains, Skardu]
  • A. Skardu chosen
    Skardu is a major town in northern Pakistan’s Gilgit-Baltistan region, known as a gateway to the Karakoram mountains and popular for its high-altitude trekking and scenic landscapes.
  • B. Gilgit
    Gilgit is a major town in northern Pakistan that serves as a key regional hub for trade, tourism, and access to the Karakoram mountain range.
  • C. Khaplu
    Khaplu is a historic town in northern Pakistan’s Gilgit-Baltistan region, known as a gateway to the Karakoram mountains and for its traditional Balti culture and architecture.
  • D. Pahalgam
    Pahalgam is a scenic hill town and popular tourist resort in Jammu and Kashmir, India, known as a base for the Amarnath Yatra pilgrimage and for its picturesque valleys and trekking routes.
  • E. Shigar Valley
    Shigar Valley is a remote, high-altitude valley in Gilgit-Baltistan, Pakistan, known as a gateway to the Karakoram mountains and major trekking routes including those to K2.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b502bc048190baa5a83015407080 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481dfcdc8190818456f89c285df4 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:24 a.m.