Triple

T18912028
Position Surface form Disambiguated ID Type / Status
Subject Har Adar E462631 entity
Predicate locatedNearPalestinianLocality P88901 FINISHED
Object Biddu 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: Biddu | Statement: [Har Adar, locatedNearPalestinianLocality, Biddu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biddu
Context triple: [Har Adar, locatedNearPalestinianLocality, Biddu]
  • A. Biddu chosen
    Biddu is a Palestinian town in the central West Bank, northwest of Jerusalem, known for its agricultural lands and location within the Jerusalem metropolitan area.
  • B. Brendah
    Brendah is a given name, typically a variant spelling of the female name Brenda.
  • C. Ribadu
    Ribadu is a Nigerian surname most prominently associated with Nuhu Ribadu, a former anti-corruption chief and political figure in Nigeria.
  • D. Shante
    Shante is the first name of Shante Broadus, an American businesswoman and the longtime wife and manager of rapper Snoop Dogg.
  • E. Mallya
    Mallya is an Indian surname most prominently associated with businessman and former liquor baron Vijay Mallya.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c6238e288190b30311b5d80beafb completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.