Triple

T10861402
Position Surface form Disambiguated ID Type / Status
Subject Teresa Panza E256412 entity
Predicate familyMember P566 FINISHED
Object Sanchica E239974 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: Sanchica | Statement: [Teresa Panza, familyMember, Sanchica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanchica
Context triple: [Teresa Panza, familyMember, Sanchica]
  • A. Sanchica chosen
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • B. Saoko
    "Saoko" is a 2022 experimental reggaeton and jazz-infused track by Spanish singer Rosalía, known for its bold production, genre-blending sound, and role as a standout single from her album "Motomami."
  • C. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Saiun
    Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b8b3fd48190b36e34dc19fa5193 completed April 17, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:20 p.m.