Triple

T172491
Position Surface form Disambiguated ID Type / Status
Subject AA E3505 entity
Predicate hasCallsignCompanion P7987 FINISHED
Object American E2011 NE FINISHED

How this triple was built (3 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: American | Statement: [AA, hasCallsignCompanion, American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American
Context triple: [AA, hasCallsignCompanion, American]
  • A. AMERICAN chosen
    AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
  • B. European American
    European Americans are U.S. residents whose ancestry traces primarily to the various peoples and nations of Europe.
  • C. American English
    American English is the set of English language varieties spoken in the United States, characterized by distinctive pronunciation, vocabulary, and grammar compared to other forms of English.
  • D. Americas
    The Americas are the combined landmasses of North and South America, encompassing a vast region of diverse cultures, climates, and ecosystems in the Western Hemisphere.
  • E. Northern
    Northern is a primary regional train operating company in Northern England, running local and commuter rail services across cities such as Manchester, Leeds, and Newcastle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCallsignCompanion
Context triple: [AA, hasCallsignCompanion, American]
  • A. callsign
    Indicates that an entity is assigned or uses a specific radio or identification callsign as its designated identifier in communication contexts.
  • B. formerCallSign
    Indicates that one identifier was previously used as the call sign for the other entity before being changed or replaced.
  • C. hasPartner
    Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
  • D. hasTypeOfInsignia
    Indicates that an entity bears or is associated with a specific kind or category of insignia.
  • E. wasCompanionOf
    Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25a3f9d188190aacf5791273e2c65 completed Feb. 28, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e7e236708190b9e4551b4442873c completed Feb. 28, 2026, 1:04 p.m.
PD Predicate disambiguation batch_69a25667717c8190bac5108366e2178d completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a25a3ee6d08190a451ddba7504ce9b completed Feb. 28, 2026, 3 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.