Triple

T4846462
Position Surface form Disambiguated ID Type / Status
Subject Digital Media and Entertainment Group E108300 entity
Predicate brand P1500 FINISHED
Object Damai E474360 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: Damai | Statement: [Digital Media and Entertainment Group, brand, Damai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damai
Context triple: [Digital Media and Entertainment Group, brand, Damai]
  • A. Damai chosen
    Damai is a major Chinese online ticketing platform specializing in live entertainment events such as concerts, theater, and sports.
  • B. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • C. Yandabo
    Yandabo is a village in central Myanmar historically notable as the site where the Treaty of Yandabo ended the First Anglo-Burmese War in 1826.
  • D. Dumai
    Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
  • E. Darangen
    Darangen is the traditional epic chant of the Maranao people of the Philippines, celebrating their history, heroes, and cultural values and recognized by UNESCO as a Masterpiece of the Oral and Intangible Heritage of Humanity.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d19784c81908e256ea23889192b completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67d70dd0819094b6b2906a9d03b5 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:25 p.m.