Triple

T854160
Position Surface form Disambiguated ID Type / Status
Subject Bahrain E18452 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object BHR
BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
 E99202 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: BHR | Statement: [Bahrain, ISO3166-1Alpha3, BHR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BHR
Context triple: [Bahrain, ISO3166-1Alpha3, BHR]
  • A. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • B. HBE
    HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • C. HRS
    HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
  • D. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • E. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • 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: BHR
Triple: [Bahrain, ISO3166-1Alpha3, BHR]
Generated description
BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BHR
Target entity description: BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • A. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • B. HBE
    HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • C. HRS
    HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
  • D. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • E. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac389a44819093396a58d2afa700 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a79335d99c819098c72e7a86ad1130 completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a793c612d88190bce254142bd75f67 completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:39 p.m.