Triple

T9551027
Position Surface form Disambiguated ID Type / Status
Subject Pearic languages E230420 entity
Predicate hasMember P10 FINISHED
Object Western 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: Western Chong | Statement: [Pearic languages, hasMember, Western Chong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Chong
Context triple: [Pearic languages, hasMember, Western 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. Chiwu
    Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
  • D. Chao
    Chao is a variant transliteration of the Chinese surname commonly rendered as Zhao in pinyin.
  • E. Chorlu
    Chorlu is a historical name for the Turkish city of Çorlu, an industrial and transportation hub in the Tekirdağ Province of European Turkey.
  • 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_69d14c85b9208190acf98fa985b0f01f completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.