Triple

T4216627
Position Surface form Disambiguated ID Type / Status
Subject Ghizer Valley E94232 entity
Predicate connectsTo P845 FINISHED
Object Gilgit E86211 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: Gilgit | Statement: [Ghizer Valley, connectsTo, Gilgit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilgit
Context triple: [Ghizer Valley, connectsTo, Gilgit]
  • A. Gilgit chosen
    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.
  • B. Skardu
    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.
  • 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. Gilgiti Shina
    Gilgiti Shina is a regional variety of the Shina language spoken primarily in and around Gilgit in northern Pakistan.
  • E. Gojal Valley
    Gojal Valley is a high-altitude region in northern Pakistan’s Hunza District, known for its dramatic Karakoram mountain scenery, glaciers, and proximity to the China–Pakistan border.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34bea284081909beaded9873f0852 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6509a86a081908435094d0e80e9f4 completed March 15, 2026, 6:24 a.m.
Created at: March 12, 2026, 11:04 p.m.