Triple

T16897818
Position Surface form Disambiguated ID Type / Status
Subject Sequoia Capital E424354 entity
Predicate investedIn P17330 FINISHED
Object Airbnb, Inc. E4944 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: Airbnb, Inc. | Statement: [Sequoia Capital, investedIn, Airbnb, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbnb, Inc.
Context triple: [Sequoia Capital, investedIn, Airbnb, Inc.]
  • A. Airbnb chosen
    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.
  • B. 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.
  • C. Wotif Group
    Wotif Group is an online travel company best known for its hotel and accommodation booking platforms, particularly in the Australian and Asia-Pacific markets.
  • D. Priceline
    Priceline is a major online travel agency known for offering discounted rates on flights, hotels, rental cars, and vacation packages.
  • E. Expedia Group
    Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d98c308190bcc0adc7797d1f40 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.