Triple

T18156100
Position Surface form Disambiguated ID Type / Status
Subject Hôtel de Paris Monte-Carlo E434634 entity
Predicate hasRestaurant P4442 FINISHED
Object ÔMER 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: ÔMER | Statement: [Hôtel de Paris Monte-Carlo, hasRestaurant, ÔMER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ÔMER
Context triple: [Hôtel de Paris Monte-Carlo, hasRestaurant, ÔMER]
  • A. Omer Adam
    Omer Adam is a popular Israeli singer known for his blend of Mizrahi and pop music and numerous chart-topping hits.
  • B. Ömer
    Ömer is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
  • C. Omer chosen
    Omer is a given name and surname used in various cultures, often as a variant of Omar, with roots in Arabic and Hebrew traditions.
  • D. Omerelu
    Omerelu is a town in Rivers State, Nigeria, situated within the Ikwerre Local Government Area and inhabited predominantly by Ikwerre-speaking people.
  • E. Omri
    Omri was a king of Israel in the Hebrew Bible, known for establishing a powerful dynasty and founding the city of Samaria as his capital.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4debe27a88190bd76c6f78fcf1bd1 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.