Triple

T1350983
Position Surface form Disambiguated ID Type / Status
Subject Lake Tahoe Airport E28880 entity
Predicate IATA code P2569 FINISHED
Object TVL
TVL is the IATA airport code for Lake Tahoe Airport, a regional airport serving the Lake Tahoe area in California, USA.
E153805 NE FINISHED

How this triple was built (4 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, IATA code, TVL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVL
Context triple: [Lake Tahoe Airport, IATA code, TVL]
  • A. AAVE
    AAVE is a distinct, rule-governed variety of English historically spoken by African Americans, characterized by unique grammatical, phonological, and lexical features.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Tvishi
    Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TVL
Triple: [Lake Tahoe Airport, IATA code, TVL]
Generated description
TVL is the IATA airport code for Lake Tahoe Airport, a regional airport serving the Lake Tahoe area in California, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TVL
Target entity description: TVL is the IATA airport code for Lake Tahoe Airport, a regional airport serving the Lake Tahoe area in California, USA.
  • A. AAVE
    AAVE is a distinct, rule-governed variety of English historically spoken by African Americans, characterized by unique grammatical, phonological, and lexical features.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Tvishi
    Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
  • F. None of above. chosen

Provenance (5 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_69a4c26981d081909ca3b8d8cdf7cf2e completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc63eef908190aef058396f63a5a4 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6dd15a481908cf870c87d469bc9 completed March 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69acc8072bb08190b1b7fb19fc2c0efc completed March 8, 2026, 12:51 a.m.
Created at: March 1, 2026, 7:56 p.m.