Triple

T12413513
Position Surface form Disambiguated ID Type / Status
Subject Tugu Pahlawan E296577 entity
Predicate hasPart P35 FINISHED
Object Museum 10 November E296575 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: Museum 10 November | Statement: [Tugu Pahlawan, hasPart, Museum 10 November]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum 10 November
Context triple: [Tugu Pahlawan, hasPart, Museum 10 November]
  • A. 10 November Museum chosen
    The 10 November Museum is a historical museum in Surabaya, Indonesia, dedicated to commemorating the Battle of Surabaya and Indonesia’s struggle for independence.
  • B. Muzeum
    Muzeum is a major interchange station in the Prague Metro system, located beneath Wenceslas Square and serving as a key hub for lines A and C.
  • C. The MAD Museum
    The MAD Museum is an interactive museum in Stratford-upon-Avon showcasing kinetic art and mechanical design.
  • D. The Museum
    The Museum is an art exhibition space within Tokyo’s Bunkamura cultural complex, known for hosting a wide range of domestic and international art shows.
  • E. Sinopie Museum
    The Sinopie Museum in Pisa is an art museum dedicated to displaying the original preparatory drawings (sinopie) for the city’s famous frescoes, particularly those from the Camposanto Monumentale.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6b0f9c8190813b6fe3f97570ac completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.