Triple

T14125624
Position Surface form Disambiguated ID Type / Status
Subject Mavis Batey E340023 entity
Predicate familyName P18 FINISHED
Object Batey E540201 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: Batey | Statement: [Mavis Batey, familyName, Batey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batey
Context triple: [Mavis Batey, familyName, Batey]
  • A. Batey chosen
    Batey is a surname and variant spelling of "Beatty," borne by various individuals in English-speaking countries.
  • B. Batán Grande
    Batán Grande is an important archaeological complex in northern Peru known for its monumental adobe pyramids and rich tombs associated with the ancient Lambayeque (Sicán) civilization.
  • C. Bayaguana
    Bayaguana is a historic town and municipality in the Monte Plata province of the Dominican Republic, known for its religious traditions and rural agricultural character.
  • D. Hato Abajo
    Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
  • E. Hato Viejo
    Hato Viejo is a barrio (district) of the municipality of Arecibo in Puerto Rico, functioning as one of its local administrative and residential communities.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0a7a7c8190860d8ce47b5f0732 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.