Triple

T3571114
Position Surface form Disambiguated ID Type / Status
Subject Project Gutenberg E75572 entity
Predicate abbreviation P43 FINISHED
Object PG
PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
E368775 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: [Project Gutenberg, abbreviation, PG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PG
Context triple: [Project Gutenberg, abbreviation, PG]
  • 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. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • D. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • E. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • 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: [Project Gutenberg, abbreviation, PG]
Generated description
PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PG
Target entity description: PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
  • 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. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • D. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • E. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c32624819097a96b3d62e3d8f0 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbbcf2d08190901049948df66f0c completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bca07cac81908253b2b4225f3d67 completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b6e66c81908700d5f3df0a864d completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.