Triple

T16885232
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Garrigue E421521 entity
Predicate burialPlace P196 FINISHED
Object Lány E415827 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: Lány | Statement: [Charlotte Garrigue, burialPlace, Lány]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lány
Context triple: [Charlotte Garrigue, burialPlace, Lány]
  • A. Lány chosen
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • B. Pucela
    Pucela is the commonly used nickname for the Spanish football club Real Valladolid, often used to refer to both the team and the city of Valladolid.
  • C. Kinana
    Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
  • D. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • E. Fruängen
    Fruängen is a Stockholm metro station on the red line, serving as the terminus of one of its southern branches in the Fruängen district.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc00cf8819088a08ddb00cd3c96 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4544124819080f20df1daa3f9ed completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:29 a.m.