Triple

T67157
Position Surface form Disambiguated ID Type / Status
Subject Arab world E1339 entity
Predicate hasMajorCity P316 FINISHED
Object Manama
Manama is the capital and largest city of Bahrain, serving as a key financial and commercial hub in the Persian Gulf region.
 E16114 NE FINISHED

How this triple was built (4 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 | Statement: [Arab world, hasMajorCity, Manama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manama
Context triple: [Arab world, hasMajorCity, Manama]
  • A. 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.
  • B. 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.
  • C. Sanaʽa
    Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
  • D. Riyadh
    Riyadh is the capital and largest city of Saudi Arabia, serving as a major political, economic, and cultural center in the Arab world.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Manama
Triple: [Arab world, hasMajorCity, Manama]
Generated description
Manama is the capital and largest city of Bahrain, serving as a key financial and commercial hub in the Persian Gulf region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manama
Target entity description: Manama is the capital and largest city of Bahrain, serving as a key financial and commercial hub in the Persian Gulf region.
  • A. 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.
  • B. 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.
  • C. Sanaʽa
    Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
  • D. Riyadh
    Riyadh is the capital and largest city of Saudi Arabia, serving as a major political, economic, and cultural center in the Arab world.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24f01a2108190a494e7bfcced8290 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b4b65e0881908e82b8e3a4bd3aa4 completed Feb. 28, 2026, 9:26 a.m.
NEDg Description generation batch_69a2b4ff2c408190899d7570fc0745bd completed Feb. 28, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69a2b55aa8e48190ab8f93e6230071e0 completed Feb. 28, 2026, 9:28 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.