Triple

T8836175
Position Surface form Disambiguated ID Type / Status
Subject Human towers (castells) E210270 entity
Predicate hasNotableCity P2813 FINISHED
Object Valls E639196 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: Valls | Statement: [Human towers (castells), hasNotableCity, Valls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valls
Context triple: [Human towers (castells), hasNotableCity, Valls]
  • A. Valls chosen
    Valls is a Spanish-origin surname notably borne by former French Prime Minister Manuel Valls.
  • B. Paul Wallot
    Paul Wallot was a German architect best known for designing Berlin’s iconic Reichstag building, the historic seat of the German parliament.
  • C. Nunes
    Nunes is a common Portuguese surname borne by numerous individuals, including athletes, politicians, and public figures in Portuguese-speaking countries.
  • D. Lorenzo Mavilis
    Lorenzo Mavilis was a Greek poet associated with the Ionian School and a patriot who died fighting in the Balkan Wars.
  • E. Pedro Navarro
    Pedro Navarro was a renowned early 16th-century Spanish military engineer and commander, famous for his innovative use of explosives and fortifications in the Italian Wars.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6069ad7881909e31010e73e26f91 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898022c88190b7274350ce065f00 completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.