Triple

T19079574
Position Surface form Disambiguated ID Type / Status
Subject Shom Peng E466989 entity
Predicate glottologName P6521 FINISHED
Object Shom Peng NE NERFINISHED

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: Shom Peng | Statement: [Shom Peng, glottologName, Shom Peng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shom Peng
Context triple: [Shom Peng, glottologName, Shom Peng]
  • A. Shom Peng chosen
    Shom Peng is an indigenous language spoken by the Shompen people of Great Nicobar Island in India’s Nicobar Islands.
  • B. Hon Hai
    Hon Hai, better known globally as Foxconn, is a Taiwanese multinational electronics manufacturer and the world’s largest contract producer of electronics devices.
  • C. Percut Sei Tuan
    Percut Sei Tuan is a district in Deli Serdang Regency, North Sumatra, Indonesia, situated on the outskirts of Medan and near Kualanamu International Airport.
  • D. Pak Yong
    Pak Yong is a stock male character in the traditional Malay dance-drama Mak Yong, often portrayed as a comic or supporting figure.
  • E. Haad Yuan
    Haad Yuan is a small, secluded beach on Thailand’s Ko Pha Ngan island, known for its tranquil atmosphere, clear waters, and relaxed, off-the-beaten-path vibe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e82ec08190873186ff51e89d86 completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.