Triple

T15903202
Position Surface form Disambiguated ID Type / Status
Subject Thingyan festival E385641 entity
Predicate relatedTo P37 FINISHED
Object Pi Mai Lao E786993 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: Pi Mai Lao | Statement: [Thingyan festival, relatedTo, Pi Mai Lao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pi Mai Lao
Context triple: [Thingyan festival, relatedTo, Pi Mai Lao]
  • A. Pi Mai Lao chosen
    Pi Mai Lao is the traditional Lao New Year festival, celebrated in mid-April with water splashing, religious ceremonies, and cultural festivities across Laos.
  • B. Majiabao
    Majiabao is a neighborhood-level area located within Beijing’s Fengtai District, known primarily as a residential and commercial urban locality.
  • C. Boon Hua
    Boon Hua is the given name of Ong Boon Hua, better known as Chin Peng, the former leader of the Malayan Communist Party.
  • D. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • E. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563e79608190a1fdfe6265817616 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb051a05081908c349cd9a1ff247a completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.