Triple

T2483205
Position Surface form Disambiguated ID Type / Status
Subject Baltoro Glacier E55865 entity
Predicate accessTown P36630 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: [Baltoro Glacier, accessTown, Skardu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skardu
Context triple: [Baltoro Glacier, accessTown, 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. 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.
  • E. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1644b5881908d2931a1dfbbd03b completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a63a44819092c017b8624e3dc8 completed March 10, 2026, 4:05 a.m.
Created at: March 6, 2026, 9:45 p.m.