Triple

T10846238
Position Surface form Disambiguated ID Type / Status
Subject Discovery flight 27 E256014 entity
Predicate crewNationality P14610 FINISHED
Object Swiss E857667 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: Swiss | Statement: [Discovery flight 27, crewNationality, Swiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss
Context triple: [Discovery flight 27, crewNationality, Swiss]
  • A. Swiss chosen
    Swiss refers to something or someone from Switzerland, a central European country known for its neutrality, multilingual culture, and high standard of living.
  • B. Schweizer
    Schweizer is one of the key members of Karl Moor’s band of outlaws in Friedrich Schiller’s play "Die Räuber," embodying the rebellious and violent spirit of the robbers.
  • C. SWISS
    SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
  • D. Swiss Germans
    Swiss Germans are a German-speaking ethnic subgroup primarily inhabiting the German-speaking regions of Switzerland, distinguished by their Alemannic dialects and Swiss cultural identity.
  • E. Deutschschweiz
    Deutschschweiz is the predominantly German-speaking region of Switzerland, encompassing major cities like Zurich, Basel, and Bern and forming the country's largest linguistic and cultural area.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d132e081909c977b3dc4110ca4 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb162d718819081fbc3a082672b4f completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.