Triple

T10670213
Position Surface form Disambiguated ID Type / Status
Subject Andrew Taylor E251466 entity
Predicate employer P7 FINISHED
Object Enterprise Rent-A-Car E769599 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: Enterprise Rent-A-Car | Statement: [Andrew Taylor, employer, Enterprise Rent-A-Car]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enterprise Rent-A-Car
Context triple: [Andrew Taylor, employer, Enterprise Rent-A-Car]
  • A. Enterprise Rent-A-Car chosen
    Enterprise Rent-A-Car is a major American car rental company known for its extensive neighborhood and airport locations and customer-focused service.
  • B. National Car Rental
    National Car Rental is a major American car rental company known for serving business travelers and operating as part of the Enterprise Holdings portfolio of brands.
  • C. Alamo Rent A Car
    Alamo Rent A Car is a major American car rental company known for serving leisure travelers, particularly at airports across North America and internationally.
  • D. CarRentals.com
    CarRentals.com is an online car rental booking platform that allows users to compare and reserve vehicles from multiple rental companies worldwide.
  • E. Avis
    Avis is a historic rural municipality in Portugal’s Portalegre District, known for its medieval heritage and scenic Alentejo landscapes.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f86390648190851693aedce6b7ad completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:09 p.m.