Triple

T13367857
Position Surface form Disambiguated ID Type / Status
Subject Boa Sr E318986 entity
Predicate name P16 FINISHED
Object Boa Sr E318986 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: Boa Sr | Statement: [Boa Sr, name, Boa Sr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boa Sr
Context triple: [Boa Sr, name, Boa Sr]
  • A. Boa Sr chosen
    Boa Sr was the last fluent speaker of the Bo language from the Great Andamanese group, symbolizing the loss of a unique indigenous culture and linguistic heritage in the Andaman Islands.
  • B. Boas
    Boas is a surname most prominently associated with Franz Boas, the pioneering anthropologist often regarded as the father of American anthropology.
  • C. Boi Para
    Boi Para is Kolkata’s famed book district, a bustling stretch of College Street renowned for its countless bookshops, secondhand stalls, and vibrant literary culture.
  • D. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • E. Carrapateira
    Carrapateira is a small coastal village in Portugal’s Algarve region, known for its rugged cliffs, surfing beaches, and unspoiled natural scenery.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461814dc8190aaaefc648da75246 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:32 p.m.