Triple

T10179325
Position Surface form Disambiguated ID Type / Status
Subject Waigali language E235942 entity
Predicate region P40 FINISHED
Object Waigal Valley E804181 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: Waigal Valley | Statement: [Waigali language, region, Waigal Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waigal Valley
Context triple: [Waigali language, region, Waigal Valley]
  • A. Waigal Valley chosen
    Waigal Valley is a remote mountainous region in eastern Afghanistan, known as the homeland of the Waigali-speaking Nuristani communities.
  • B. Matukituki Valley
    Matukituki Valley is a scenic glacial valley in New Zealand’s Southern Alps, known for its riverside hiking tracks, alpine views, and access to Mount Aspiring.
  • C. Wahgi Valley
    Wahgi Valley is a fertile highland valley in Papua New Guinea known for its dense population, rich agricultural land, and significant archaeological sites.
  • D. Tena Valley
    Tena Valley is a scenic valley in the central Pyrenees of northern Spain, known for its mountain landscapes, ski resorts, and traditional Aragonese villages.
  • E. Waeapo Valley
    Waeapo Valley is a fertile agricultural valley on the island of Buru in Indonesia, known especially for its rice fields and rural settlements.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301373a008190b8d39a8db4167e4f completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.