Triple

T22087737
Position Surface form Disambiguated ID Type / Status
Subject Garret Mountain E545826 entity
Predicate hasPart P35 FINISHED
Object Lambert Tower NE NERFINISHED

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: Lambert Tower | Statement: [Garret Mountain, hasPart, Lambert Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambert Tower
Context triple: [Garret Mountain, hasPart, Lambert Tower]
  • A. Lambert Tower chosen
    Lambert Tower is a historic stone observation tower that forms part of the Lambert Castle complex in Paterson, New Jersey, offering panoramic views of the surrounding area.
  • B. Drogenap Tower
    Drogenap Tower is a historic medieval city gate and defensive tower in Zutphen, the Netherlands, known for its distinctive architecture and role in the town’s fortifications.
  • C. Phoenix Tower
    Phoenix Tower is a prominent office skyscraper in Houston, Texas, recognized as a key component of the Greenway Plaza business complex.
  • D. Phoenix Tower
    Phoenix Tower is a historic pavilion within the Mukden Palace complex in Shenyang, China, notable for its traditional Qing dynasty architecture and ceremonial significance.
  • E. Saint-Jacques Tower
    Saint-Jacques Tower is a flamboyant Gothic bell tower in central Paris, preserved as a historic monument and former part of the 16th-century Church of Saint-Jacques-de-la-Boucherie.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e3a98481908a7b3dc3f2a90276 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.