Triple

T15353073
Position Surface form Disambiguated ID Type / Status
Subject Palm Beach E367101 entity
Predicate hasLandmark P105 FINISHED
Object Royal Poinciana Chapel E89258 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: Royal Poinciana Chapel | Statement: [Palm Beach, hasLandmark, Royal Poinciana Chapel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Poinciana Chapel
Context triple: [Palm Beach, hasLandmark, Royal Poinciana Chapel]
  • A. Royal Poinciana Chapel chosen
    Royal Poinciana Chapel is a historic, picturesque waterfront church in Palm Beach, Florida, known for its distinctive architecture and role in the island’s spiritual and community life.
  • B. Kawaiahaʻo Church
    Kawaiahaʻo Church is a historic Congregational church in Honolulu, often called the “Westminster Abbey of the Pacific” for its significance in early Hawaiian history and monarchy.
  • C. Bigelow Chapel
    Bigelow Chapel is a historic Gothic Revival funerary chapel located within Mount Auburn Cemetery in Cambridge, Massachusetts.
  • D. Serra Chapel
    Serra Chapel is a historic Catholic chapel in Mission San Juan Capistrano, recognized as one of the oldest standing church buildings in California.
  • E. Christine Chapel
    Christine Chapel is a Starfleet nurse and medical officer in the Star Trek universe, known for her compassionate care, scientific expertise, and close working relationship with Dr. Leonard McCoy and later Dr. M'Benga.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fd53688190939787a3d6ff3bb9 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.