Triple

T1377744
Position Surface form Disambiguated ID Type / Status
Subject Birmingham–Shuttlesworth International Airport E29263 entity
Predicate IATAcode P418 FINISHED
Object BHM
BHM is the three-letter IATA airport code for Birmingham–Shuttlesworth International Airport serving Birmingham, Alabama.
 E158788 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: BHM | Statement: [Birmingham–Shuttlesworth International Airport, IATAcode, BHM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BHM
Context triple: [Birmingham–Shuttlesworth International Airport, IATAcode, BHM]
  • A. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • B. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • C. BMA
    BMA is the IATA airport code for Stockholm Bromma Airport, a regional airport serving Stockholm, Sweden.
  • D. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • E. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • 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: BHM
Triple: [Birmingham–Shuttlesworth International Airport, IATAcode, BHM]
Generated description
BHM is the three-letter IATA airport code for Birmingham–Shuttlesworth International Airport serving Birmingham, Alabama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BHM
Target entity description: BHM is the three-letter IATA airport code for Birmingham–Shuttlesworth International Airport serving Birmingham, Alabama.
  • A. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • B. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • C. BMA
    BMA is the IATA airport code for Stockholm Bromma Airport, a regional airport serving Stockholm, Sweden.
  • D. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • E. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3173548819082aec7c1af9c577c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd488698481909411c004aadfcaec completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd625592481908c688802ce8381ee completed March 8, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69acd6daf83881909cf5a4105ebf14a5 completed March 8, 2026, 1:54 a.m.
Created at: March 1, 2026, 7:59 p.m.