Triple

T12016742
Position Surface form Disambiguated ID Type / Status
Subject Independence Bowl E286043 entity
Predicate sponsorHistory P35612 FINISHED
Object Camping World E462618 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: Camping World | Statement: [Independence Bowl, sponsorHistory, Camping World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camping World
Context triple: [Independence Bowl, sponsorHistory, Camping World]
  • A. Camping World chosen
    Camping World is a U.S.-based retailer specializing in recreational vehicles (RVs), RV parts, accessories, and related camping services.
  • B. Bass Pro Shops
    Bass Pro Shops is a major American retail chain specializing in outdoor recreation gear, particularly for fishing, hunting, and camping.
  • C. TravelCenters of America
    TravelCenters of America is a large U.S. operator of full-service travel centers and truck stops providing fuel, food, and amenities for professional drivers and motorists.
  • D. Galpin Auto Sports
    Galpin Auto Sports is a Los Angeles–based custom car shop known for its elaborate vehicle modifications and appearances on automotive reality TV.
  • E. Speedco
    Speedco is a chain of quick-service commercial truck lube and tire service centers in the United States, catering primarily to professional drivers and fleet operators.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d9b17881908894be80d7c1b64e completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b53cd08819084a9335449844f12 completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:47 p.m.