Triple

T2611763
Position Surface form Disambiguated ID Type / Status
Subject Trango Towers E58789 entity
Predicate accessPoint P1985 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: [Trango Towers, accessPoint, Skardu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skardu
Context triple: [Trango Towers, accessPoint, 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87b24e48190ad1d4ce7e63c0f3e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7ea0608190af4ef9655c612fbb completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:50 p.m.