Triple

T20757155
Position Surface form Disambiguated ID Type / Status
Subject LFSB E510878 entity
Predicate IATACode P418 FINISHED
Object MLH NE NERFINISHED

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: MLH | Statement: [LFSB, IATACode, MLH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MLH
Context triple: [LFSB, IATACode, MLH]
  • A. MLH chosen
    MLH is the IATA airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of France, Switzerland, and Germany.
  • B. MLHR
    MLHR is the former stock ticker symbol for Herman Miller, a renowned American manufacturer of modern office furniture and design solutions.
  • C. MLC
    MLC stands for Member of the Legislative Council, a title used for elected or appointed representatives serving in a legislative council in various parliamentary systems.
  • D. MLC
    MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
  • E. MLC
    MLC is a Congolese political party and former rebel group that played a major role in the Second Congo War and subsequent politics of the Democratic Republic of the Congo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c23113c88190a567c3a098cf7552 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:35 p.m.