Triple

T18752224
Position Surface form Disambiguated ID Type / Status
Subject Riffa Views International School area E458553 entity
Predicate locatedIn P40 FINISHED
Object Riffa 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: Riffa | Statement: [Riffa Views International School area, locatedIn, Riffa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riffa
Context triple: [Riffa Views International School area, locatedIn, Riffa]
  • A. Riffa chosen
    Riffa is one of the largest and most prominent cities in Bahrain, known for its residential areas, historic sites, and commercial centers.
  • B. Brunei-Kedayan
    Brunei-Kedayan is a Malayic language variety spoken primarily by the Kedayan ethnic group in Brunei and surrounding regions of Borneo.
  • C. Port Khalid
    Port Khalid is a major seaport in the Emirate of Sharjah in the United Arab Emirates, serving as a key hub for regional trade and maritime logistics.
  • D. Hawalli
    Hawalli is a densely populated urban district in Kuwait known for its residential neighborhoods, shopping centers, and vibrant expatriate community.
  • E. Bare’e
    Bare’e is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579ee4194819089661132f9f0f849 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.