Triple

T17265241
Position Surface form Disambiguated ID Type / Status
Subject Tochi River E419107 entity
Predicate hasValley P650 FINISHED
Object Tochi Valley E991472 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: Tochi Valley | Statement: [Tochi River, hasValley, Tochi Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tochi Valley
Context triple: [Tochi River, hasValley, Tochi Valley]
  • A. Tochi Valley chosen
    Tochi Valley is a historically significant valley in Pakistan’s northwest, known as a strategic route between Afghanistan and the Indian subcontinent and as the homeland of various Pashtun tribes.
  • B. Ourika Valley
    Ourika Valley is a scenic river valley in the Atlas Mountains of Morocco, known for its traditional Berber villages, waterfalls, and popular day trips from Marrakech.
  • C. Anai Valley
    Anai Valley is a scenic natural valley in West Sumatra, Indonesia, known for its lush rainforest, waterfalls, and mountainous landscapes.
  • D. Wama Valley
    Wama Valley is a remote valley in eastern Afghanistan known as one of the primary homelands of the Nuristani-speaking Ashkun people.
  • E. Usho Valley
    Usho Valley is a scenic alpine valley in Pakistan’s Swat region, known for its lush forests, rivers, and proximity to popular tourist spots like Mahodand Lake.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f44ec7c81909a925fc8692b0a6c completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180ce69d08190aa254f219a572a92 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.