Triple

T11525897
Position Surface form Disambiguated ID Type / Status
Subject ASFAR E273293 entity
Predicate rival P437 FINISHED
Object Raja CA E242141 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: Raja CA | Statement: [ASFAR, rival, Raja CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raja CA
Context triple: [ASFAR, rival, Raja CA]
  • A. Raja CA chosen
    Raja CA is a prominent Moroccan football club based in Casablanca, renowned for its passionate fanbase and historic domestic and continental successes.
  • B. Raja
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • C. Rajarshi
    Rajarshi is an honorific title in ancient Indian tradition denoting a king who has attained the spiritual wisdom and detachment of a sage.
  • D. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • E. Rajah
    Rajah is the loyal and protective tiger companion of Princess Jasmine in Disney's Aladdin franchise.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd379648190b342e0c4b4f685b7 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62562efb88190bbf3c7bbec8233aa completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:37 p.m.