Triple

T903631
Position Surface form Disambiguated ID Type / Status
Subject Jerónimos Monastery E19498 entity
Predicate near P350 FINISHED
Object Belém Tower E18926 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: Belém Tower | Statement: [Jerónimos Monastery, near, Belém Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belém Tower
Context triple: [Jerónimos Monastery, near, Belém Tower]
  • A. Belém Tower chosen
    Belém Tower is a 16th-century fortified tower in Lisbon, Portugal, and a UNESCO World Heritage Site renowned as a symbol of the Age of Discoveries.
  • B. Belém Palace
    Belém Palace is the official residence of the President of Portugal, located in Lisbon’s Belém district and serving as a central site of Portuguese political and ceremonial life.
  • C. Torre do Pinhão
    Torre do Pinhão is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
  • D. São Jorge Castle
    São Jorge Castle is a historic Moorish-era fortress and popular viewpoint overlooking central Lisbon and the Tagus River.
  • E. Jerónimos
    Jerónimos is an upscale, historic neighborhood in central Madrid known for landmarks like El Retiro Park and the Prado Museum.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad58334881908df191140b786780 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bfe2ce081908c358689ec2c58e6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:39 p.m.