Triple

T14628346
Position Surface form Disambiguated ID Type / Status
Subject Huli people E343411 entity
Predicate region P40 FINISHED
Object Hela Province E312328 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: Hela Province | Statement: [Huli people, region, Hela Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hela Province
Context triple: [Huli people, region, Hela Province]
  • A. Hela Province chosen
    Hela Province is an inland, resource-rich province in Papua New Guinea known for its rugged highland terrain and significant natural gas reserves.
  • B. Berar Province
    Berar Province was a former administrative region in central India under British rule, known for its cotton-growing areas and later incorporation into the Central Provinces and Berar.
  • C. Hail Province
    Hail Province is a region in north-central Saudi Arabia known for its desert landscapes, agricultural areas, and historical role as a crossroads for trade routes.
  • D. Safi Province
    Safi Province is an administrative division on Morocco’s Atlantic coast, known for its historic port city of Safi and its important fishing and ceramics industries.
  • E. Oriente Province
    Oriente Province was a former large administrative region in eastern Cuba that included major cities like Santiago de Cuba before being subdivided into smaller provinces in 1976.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a7c8fc81909d10c1f563d7d1e7 completed April 14, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92c25ac8190ba931c009e7ace19 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.