Triple

T4801251
Position Surface form Disambiguated ID Type / Status
Subject Mount Pleasant, New York E106835 entity
Predicate hasLandmark P105 FINISHED
Object Kykuit E38793 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: Kykuit | Statement: [Mount Pleasant, New York, hasLandmark, Kykuit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kykuit
Context triple: [Mount Pleasant, New York, hasLandmark, Kykuit]
  • A. Kykuit chosen
    Kykuit is a historic Rockefeller family estate and grand mansion known for its architecture, art collections, and landscaped gardens overlooking the Hudson River in New York.
  • B. Kueyen
    Kueyen is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory on Cerro Paranal in Chile.
  • C. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • D. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • E. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c40b3c881909be9fd9ee892993b completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9e1ea88190b098d5203bd1d145 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:23 p.m.