Triple

T241749
Position Surface form Disambiguated ID Type / Status
Subject Airbnb E4944 entity
Predicate tickerSymbol P1447 FINISHED
Object ABNB 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: ABNB | Statement: [Airbnb, tickerSymbol, ABNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABNB
Context triple: [Airbnb, tickerSymbol, ABNB]
  • 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. Portland Hotel
    The Portland Hotel was a grand late-19th-century luxury hotel in downtown Portland, Oregon, that once served as a prominent social and cultural hub before its demolition in the mid-20th century.
  • C. Pago Pago
    Pago Pago is the main urban center and harbor town on Tutuila Island that serves as the political and economic hub of American Samoa in the South Pacific.
  • D. ABC
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • E. Lakeview
    Lakeview is a vibrant North Side Chicago neighborhood known for its lively entertainment scene, lakefront access, and diverse residential areas including Boystown and Wrigleyville.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf2e84c81908d87847d498f96f4 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.