Triple

T9551029
Position Surface form Disambiguated ID Type / Status
Subject Pearic languages E230420 entity
Predicate hasMember P10 FINISHED
Object Eastern Chong E775505 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: Eastern Chong | Statement: [Pearic languages, hasMember, Eastern Chong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Chong
Context triple: [Pearic languages, hasMember, Eastern Chong]
  • A. Chong chosen
    Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
  • B. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • C. Central Chong
    Central Chong is a branch of the Pearic languages spoken by indigenous communities in parts of Cambodia and Thailand.
  • D. Chongra
    Chongra is a small settlement located in Pakistan’s Astore Valley in the Gilgit-Baltistan region of the Himalayas.
  • E. Kuichong
    Kuichong is a town within Shenzhen’s Dapeng New District in Guangdong Province, China, known for its coastal scenery and proximity to popular beaches and nature reserves.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528068a481908d5c8037b4591db5 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.