Triple

T16275022
Position Surface form Disambiguated ID Type / Status
Subject Southern Governorate (Bahrain) E395102 entity
Predicate capital P234 FINISHED
Object Riffa E102551 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: Riffa | Statement: [Southern Governorate (Bahrain), capital, Riffa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riffa
Context triple: [Southern Governorate (Bahrain), capital, 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 (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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460d30608190a721aa845fcf7cf6 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.