Triple

T18373472
Position Surface form Disambiguated ID Type / Status
Subject ES E446246 entity
Predicate hasTwoLetterCode P2261 FINISHED
Object ES 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: ES | Statement: [ES, hasTwoLetterCode, ES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ES
Context triple: [ES, hasTwoLetterCode, ES]
  • A. ES
    ES is the ticker symbol for the E-mini S&P 500 futures contract, a widely traded equity index derivative on the Chicago Mercantile Exchange used for hedging and speculating on the S&P 500.
  • B. ES
    ES is the commonly used abbreviation for European Solidarity, a Polish political party.
  • C. ES chosen
    ES is the ISO 3166-1 alpha-2 country code for Spain, a European nation on the Iberian Peninsula.
  • D. ES
    ES is the vehicle registration code for the district of Esslingen in the Stuttgart region of Baden-Württemberg, Germany.
  • E. ESP
    ESP is the three-letter FIFA country code used to represent the Spain national football team in international competitions and official records.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e517561edc8190b5d2834707ab662b completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.