Triple

T12500308
Position Surface form Disambiguated ID Type / Status
Subject Bangkok Airways E298802 entity
Predicate IATAcode P418 FINISHED
Object PG
PG is the IATA airline designator used to identify Bangkok Airways on flight schedules, tickets, and aviation systems.
 E987836 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: PG | Statement: [Bangkok Airways, IATAcode, PG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PG
Context triple: [Bangkok Airways, IATAcode, PG]
  • A. PG
    PG is the stock ticker symbol for Procter & Gamble, a major American multinational consumer goods company known for brands across household, personal care, and hygiene products.
  • B. PG
    PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
  • C. PG
    PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
  • D. PG
    PG is the commonly used abbreviation for Gdańsk University of Technology, a major technical university in Gdańsk, Poland.
  • E. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • 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: PG
Triple: [Bangkok Airways, IATAcode, PG]
Generated description
PG is the IATA airline designator used to identify Bangkok Airways on flight schedules, tickets, and aviation systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PG
Target entity description: PG is the IATA airline designator used to identify Bangkok Airways on flight schedules, tickets, and aviation systems.
  • A. PG
    PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
  • B. PG
    PG is the stock ticker symbol for Procter & Gamble, a major American multinational consumer goods company known for brands across household, personal care, and hygiene products.
  • C. PG
    PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
  • D. PG
    PG is the commonly used abbreviation for Gdańsk University of Technology, a major technical university in Gdańsk, Poland.
  • E. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfbb2a48190a231b02cfa990565 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.