Triple

T13144981
Position Surface form Disambiguated ID Type / Status
Subject Kokopo E312312 entity
Predicate hasCountryCode P189 FINISHED
Object PG
PG is the ISO 3166 country code for Papua New Guinea, a Pacific nation occupying the eastern half of the island of New Guinea and numerous offshore islands.
 E1024252 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: [Kokopo, hasCountryCode, PG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PG
Context triple: [Kokopo, hasCountryCode, 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 IATA airline designator used to identify Bangkok Airways on flight schedules, tickets, and aviation systems.
  • D. PG
    PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
  • E. PG
    PG is the commonly used abbreviation for Gdańsk University of Technology, a major technical university in Gdańsk, Poland.
  • 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: [Kokopo, hasCountryCode, PG]
Generated description
PG is the ISO 3166 country code for Papua New Guinea, a Pacific nation occupying the eastern half of the island of New Guinea and numerous offshore islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PG
Target entity description: PG is the ISO 3166 country code for Papua New Guinea, a Pacific nation occupying the eastern half of the island of New Guinea and numerous offshore islands.
  • 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. PG
    PG is the IATA airline designator used to identify Bangkok Airways on flight schedules, tickets, and aviation systems.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae675508190991ce5902768c45a completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ebb1cd208190970ad8c21e852d93 completed May 3, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec48035881909342b57c061a22a9 completed May 3, 2026, 6:33 a.m.
Created at: April 9, 2026, 9:10 p.m.