Triple

T6565213
Position Surface form Disambiguated ID Type / Status
Subject Rumi script E153885 entity
Predicate usedForLanguage P907 FINISHED
Object Baba Malay E153881 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: Baba Malay | Statement: [Rumi script, usedForLanguage, Baba Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baba Malay
Context triple: [Rumi script, usedForLanguage, Baba Malay]
  • A. Baba Malay chosen
    Baba Malay is a creole language historically spoken by the Peranakan (Straits Chinese) community, blending Malay with significant Hokkien Chinese and other linguistic influences.
  • B. Baba
    Baba is the wealthy, principled yet emotionally distant father of Amir in the film adaptation of "The Kite Runner."
  • C. Baba
    Baba is an honorific title used in South Asian cultures, particularly in Sikh and Punjabi traditions, to denote respect for an elder, spiritual leader, or revered figure.
  • D. BABA
    BABA is the stock ticker for Alibaba Group Holding Limited, a leading Chinese multinational technology company specializing in e-commerce, cloud computing, digital media, and related services.
  • E. Babu
    Babu was a hereditary aristocratic title used by the ruling family of the Jagdishpur estate in India.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.