Triple

T19406455
Position Surface form Disambiguated ID Type / Status
Subject Benjamín E485474 entity
Predicate hasShortForm P43 FINISHED
Object Benja 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: Benja | Statement: [Benjamín, hasShortForm, Benja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benja
Context triple: [Benjamín, hasShortForm, Benja]
  • A. Benja chosen
    Benja is Raya’s father and the visionary leader of the land of Kumandra in Disney’s animated film "Raya and the Last Dragon."
  • B. Beniamin
    Beniamin is a rural village located in Armenia’s Shirak Province.
  • C. Joha
    "Joha" is a popular Afrobeats track by Nigerian singer Asake, known for its catchy rhythm and street-influenced sound.
  • D. Benijo
    Benijo is a remote black-sand beach on the northern coast of Tenerife in the Canary Islands, known for its dramatic rock formations, powerful Atlantic waves, and striking sunsets.
  • E. Tobia
    Tobia is a small town in Colombia known for its lush river valley setting and popular adventure sports like rafting and canyoning.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257af68881908147beedc29ff64c completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.