Triple

T1696298
Position Surface form Disambiguated ID Type / Status
Subject Disneyland Railroad E36664 entity
Predicate passesBy P3947 FINISHED
Object Critter Country E189539 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: Critter Country | Statement: [Disneyland Railroad, passesBy, Critter Country]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Critter Country
Context triple: [Disneyland Railroad, passesBy, Critter Country]
  • A. Critter Country chosen
    Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
  • B. Possum Town
    Possum Town is the historic nickname and original name of Columbus, a city in eastern Mississippi along the Tombigbee River.
  • C. The Farm
    The Farm is a popular nickname for Stanford University, reflecting its origins on the former Palo Alto Stock Farm owned by the Stanford family.
  • D. Elephant Lands
    Elephant Lands is a large, naturalistic elephant habitat and exhibit at the Oregon Zoo designed to support the physical and behavioral needs of Asian elephants.
  • E. The Moose
    "The Moose" is the famous nickname of Mark Messier, the Hall of Fame NHL forward renowned for his leadership, physical play, and multiple Stanley Cup championships.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad799ad838819087e945f47284a3b0 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:30 p.m.