Triple

T17770066
Position Surface form Disambiguated ID Type / Status
Subject Engaku-ji E443609 entity
Predicate hasStructure P35 FINISHED
Object Sanmon 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: Sanmon | Statement: [Engaku-ji, hasStructure, Sanmon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanmon
Context triple: [Engaku-ji, hasStructure, Sanmon]
  • A. Sanmon chosen
    Sanmon is the main gate of a Japanese Buddhist temple complex, often serving as a grand, symbolic entrance marking the boundary between the secular world and sacred space.
  • B. Creel
    Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
  • C. Escalante
    Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Steamboat Creek
    Steamboat Creek is a stream in western Nevada that flows through the Reno area before joining the Truckee River.
  • E. Spearfish
    Spearfish is a small city in western South Dakota known as a gateway to the scenic Black Hills region and nearby Spearfish Canyon.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485ff928481909fe32260ba57978f completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.