Triple

T15328790
Position Surface form Disambiguated ID Type / Status
Subject Book of Ryan E366479 entity
Predicate hasPart P35 FINISHED
Object Caterpillar E95171 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: Caterpillar | Statement: [Book of Ryan, hasPart, Caterpillar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caterpillar
Context triple: [Book of Ryan, hasPart, Caterpillar]
  • A. Caterpillar
    The Caterpillar is a wise, enigmatic blue insect who serves as a cryptic advisor to Alice in Tim Burton’s 2010 fantasy film "Alice in Wonderland."
  • B. Caterpillar chosen
    Caterpillar is a leading American manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and locomotives.
  • C. Caterpillar (Absolem)
    Caterpillar (Absolem) is the enigmatic, hookah-smoking blue caterpillar who serves as a cryptic guide to Alice in Lewis Carroll’s "Alice’s Adventures in Wonderland" and its adaptations.
  • D. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • E. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dffd6f88190a0f031ee90c6a7d2 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8af92a88190bd47f1a484f25eb1 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.