Triple

T15873572
Position Surface form Disambiguated ID Type / Status
Subject Paro Airport E384889 entity
Predicate IATAcode P418 FINISHED
Object PBH
PBH is the three-letter IATA airport code for Paro Airport, the primary international airport of Bhutan.
 E1180942 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: PBH | Statement: [Paro Airport, IATAcode, PBH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PBH
Context triple: [Paro Airport, IATAcode, PBH]
  • A. PB
    PB is the official vehicle registration code for the Brazilian state of Paraíba.
  • B. PB
    PB is the vehicle registration code used on license plates for the city of Paderborn in Germany.
  • C. PB
    PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
  • D. PB
    PB is the affectionate shorthand for Princess Bubblegum, the intelligent and scientifically minded ruler of the Candy Kingdom in the animated series "Adventure Time."
  • E. PHB
    PHB (Per-Hop Behavior) is a fundamental DiffServ concept in IP networking that specifies how routers should handle and prioritize packets at each hop to provide differentiated quality of service.
  • 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: PBH
Triple: [Paro Airport, IATAcode, PBH]
Generated description
PBH is the three-letter IATA airport code for Paro Airport, the primary international airport of Bhutan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PBH
Target entity description: PBH is the three-letter IATA airport code for Paro Airport, the primary international airport of Bhutan.
  • A. PB
    PB is the official vehicle registration code for the Brazilian state of Paraíba.
  • B. PB
    PB is the affectionate shorthand for Princess Bubblegum, the intelligent and scientifically minded ruler of the Candy Kingdom in the animated series "Adventure Time."
  • C. PB
    PB is the vehicle registration code used on license plates for the city of Paderborn in Germany.
  • D. PB
    PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
  • E. PHB
    PHB (Per-Hop Behavior) is a fundamental DiffServ concept in IP networking that specifies how routers should handle and prioritize packets at each hop to provide differentiated quality of service.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fc02688190b6f070882b846516 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94e9b548190bec74e6d9790d241 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa07df788190bae67f3d9a800331 completed May 9, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69ffaaa92a648190a09829ef3197223c completed May 9, 2026, 9:44 p.m.
Created at: April 10, 2026, 4:51 a.m.