Triple

T22249638
Position Surface form Disambiguated ID Type / Status
Subject Sakhir Palace E549937 entity
Predicate distanceFrom P1299 FINISHED
Object Manama, Bahrain E16114 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: Manama, Bahrain | Statement: [Sakhir Palace, distanceFrom, Manama, Bahrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manama, Bahrain
Context triple: [Sakhir Palace, distanceFrom, Manama, Bahrain]
  • A. Manama chosen
    Manama is the capital and largest city of Bahrain, serving as a key financial and commercial hub in the Persian Gulf region.
  • B. Manama
    Manama is a small inland exclave of the Emirate of Ajman in the United Arab Emirates, known for its agricultural land and scattered settlements.
  • C. Doha
    Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
  • D. Kuwait City
    Kuwait City is the capital and largest city of Kuwait, serving as a major political, economic, and cultural center on the Persian Gulf.
  • E. Bahrain (town)
    Bahrain is a small riverside town in Pakistan’s Swat District, known as a scenic tourist spot where two rivers meet and as a gateway to the Swat Valley’s northern areas.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138bc69d48190b185d4b8f4089922 completed April 28, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab6606be48190bf16d33ca2261ca6 completed May 18, 2026, 6:49 a.m.
Created at: April 16, 2026, 8:39 p.m.