Triple

T16044326
Position Surface form Disambiguated ID Type / Status
Subject Manama waterfront E389176 entity
Predicate partOf P40 FINISHED
Object Manama metropolitan area 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 metropolitan area | Statement: [Manama waterfront, partOf, Manama metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manama metropolitan area
Context triple: [Manama waterfront, partOf, Manama metropolitan area]
  • 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. Manama waterfront
    Manama waterfront is a prominent coastal area in Bahrain’s capital city, featuring modern skyscrapers, commercial developments, and scenic views along the Persian Gulf.
  • D. Qods city
    Qods city is an urban center in Tehran Province, Iran, functioning as the administrative and population hub of Qods County.
  • E. Muscat
    Muscat is the capital and largest city of Oman, known for its historic port, white-washed architecture, and strategic location on the Gulf of Oman.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835d1dac819089abec9f0668ec78 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe476d4488190abade3d6b4011435 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.