Triple

T18681551
Position Surface form Disambiguated ID Type / Status
Subject Patrologia Graeca E456744 entity
Predicate abbreviation P43 FINISHED
Object PG
PG is the standard abbreviation for the *Patrologia Graeca*, a monumental 19th-century collection of writings by the Greek Church Fathers edited by Jacques-Paul Migne.
 E1337374 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: [Patrologia Graeca, abbreviation, PG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PG
Context triple: [Patrologia Graeca, abbreviation, PG]
  • A. PG
    PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
  • B. PG
    PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
  • C. 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.
  • 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
  • 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: [Patrologia Graeca, abbreviation, PG]
Generated description
PG is the standard abbreviation for the *Patrologia Graeca*, a monumental 19th-century collection of writings by the Greek Church Fathers edited by Jacques-Paul Migne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PG
Target entity description: PG is the standard abbreviation for the *Patrologia Graeca*, a monumental 19th-century collection of writings by the Greek Church Fathers edited by Jacques-Paul Migne.
  • A. PG
    PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
  • B. PG
    PG is the commonly used abbreviation for Gdańsk University of Technology, a major technical university in Gdańsk, Poland.
  • C. PG
    PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
  • D. 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.
  • E. PG
    PG is a Motion Picture Association film rating indicating that some material may not be suitable for children and parental guidance is suggested.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2906ec8190ad8db8e3ae6b2945 completed April 19, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052358206c81908fd07af6b2911400 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a05246d04408190995d7e34f6662011 completed May 14, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0524eced608190a1b3468f6d0189c2 completed May 14, 2026, 1:27 a.m.
Created at: April 10, 2026, 11:49 a.m.