Triple

T1350985
Position Surface form Disambiguated ID Type / Status
Subject Lake Tahoe Airport E28880 entity
Predicate FAA LID P420 FINISHED
Object TVL E153805 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: TVL | Statement: [Lake Tahoe Airport, FAA LID, TVL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVL
Context triple: [Lake Tahoe Airport, FAA LID, TVL]
  • A. TVL chosen
    TVL is the IATA airport code for Lake Tahoe Airport, a regional airport serving the Lake Tahoe area in California, USA.
  • B. AAVE
    AAVE is a distinct, rule-governed variety of English historically spoken by African Americans, characterized by unique grammatical, phonological, and lexical features.
  • C. Worldcoin
    Worldcoin is a cryptocurrency and digital identity project that aims to create a global financial network by uniquely verifying individuals, co-founded by Sam Altman.
  • D. Meta River
    The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
  • E. VAST
    VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26b1b4881908ae4b1b2c9b268a0 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6a1dd48190b17ac5a7cf3ab933 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:56 p.m.