Triple

T1352804
Position Surface form Disambiguated ID Type / Status
Subject Corniche Beirut E28919 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Raouché E33652 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: Raouché | Statement: [Corniche Beirut, hasNearbyLandmark, Raouché]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raouché
Context triple: [Corniche Beirut, hasNearbyLandmark, Raouché]
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Madoc
    Madoc is an epic poem by Robert Southey that narrates the legendary voyages and adventures of the Welsh prince Madoc in the New World.
  • C. Valee
    Valee is an American rapper known for his laid-back flow, minimalist beats, and work with Kanye West’s G.O.O.D. Music label.
  • D. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • E. Raouché Rocks chosen
    Raouché Rocks are a famous pair of natural offshore rock formations and a popular coastal landmark located along the Mediterranean shoreline of Beirut, Lebanon.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc64032d08190986c8b12bbcfc7c2 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.