Triple

T17405814
Position Surface form Disambiguated ID Type / Status
Subject al-Zahra E423210 entity
Predicate topLevelDomain P248 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: [al-Zahra, topLevelDomain, .es]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .es
Context triple: [al-Zahra, topLevelDomain, .es]
  • A. ES chosen
    ES is the ISO 3166-1 alpha-2 country code for Spain, a European nation on the Iberian Peninsula.
  • B. 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.
  • C. ES
    ES is the commonly used abbreviation for European Solidarity, a Polish political party.
  • D. ES
    ES is the vehicle registration code for the district of Esslingen in the Stuttgart region of Baden-Württemberg, Germany.
  • E. Española
    Española is the former Spanish name for the Caribbean island now known as Hispaniola, which is shared by Haiti and the Dominican Republic.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0750688190bb123634d7c7273e completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.