Triple

T10739654
Position Surface form Disambiguated ID Type / Status
Subject Business Premier E253286 entity
Predicate associatedProgram P2830 FINISHED
Object Airpoints E253285 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: Airpoints | Statement: [Business Premier, associatedProgram, Airpoints]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airpoints
Context triple: [Business Premier, associatedProgram, Airpoints]
  • A. Airpoints chosen
    Airpoints is Air New Zealand’s loyalty program that allows members to earn and redeem points on flights and partner services.
  • B. SpotPass
    SpotPass is an online connectivity feature for Nintendo handheld systems that automatically downloads content and data in the background while the device is in sleep mode.
  • C. Airbnb
    Airbnb is a global online marketplace that connects people seeking short-term lodging or experiences with hosts offering accommodations and activities in locations around the world.
  • D. Caesars Rewards
    Caesars Rewards is a customer loyalty program offering tiered benefits, comps, and exclusive perks to patrons of Caesars Entertainment casinos, hotels, and resorts.
  • E. Vrbo
    Vrbo is a vacation rental marketplace that connects travelers with owners and property managers offering homes, condos, cabins, and other short-term lodging options worldwide.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71043106c819091939950f532eda5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22ed6edc8190beb76bd2971c7cec completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:14 p.m.