Triple

T6226098
Position Surface form Disambiguated ID Type / Status
Subject Lygia Pape E139237 entity
Predicate notableWork P4 FINISHED
Object Tecelares E558933 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: Tecelares | Statement: [Lygia Pape, notableWork, Tecelares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tecelares
Context triple: [Lygia Pape, notableWork, Tecelares]
  • A. Tecelares chosen
    Tecelares is a celebrated series of abstract woodcut prints by Brazilian artist Lygia Pape, known for its innovative exploration of geometry, texture, and space within Concrete and Neo-Concrete art.
  • B. Tekstilshchiki
    Tekstilshchiki is a station on Moscow’s Big Circle Line of the Moscow Metro, serving the Tekstilshchiki district in the city’s southeast.
  • C. City of Weavers
    City of Weavers is a nickname for Panipat, an Indian city renowned for its historic textile and handloom weaving industry.
  • D. The Silk Spinners
    "The Silk Spinners" is an episode of the nature documentary series *Life in the Undergrowth* that explores the remarkable diversity, behavior, and engineering feats of silk-producing invertebrates such as spiders and caterpillars.
  • E. Oleiros
    Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d42c688190be4d8d8325d6daaa completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dd3dc5c8190bf48da3a90863727 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:22 p.m.