Triple

T3439932
Position Surface form Disambiguated ID Type / Status
Subject Catholic Encyclopedia E72539 entity
Predicate hasAbbreviation P43 FINISHED
Object CE
CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
 E357282 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: CE | Statement: [Catholic Encyclopedia, hasAbbreviation, CE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CE
Context triple: [Catholic Encyclopedia, hasAbbreviation, CE]
  • A. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • B. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • C. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • D. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • E. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • 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: CE
Triple: [Catholic Encyclopedia, hasAbbreviation, CE]
Generated description
CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CE
Target entity description: CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • A. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • B. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • C. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • D. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • E. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f833e88190b5e813f115621a5f completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3548598088190907e13c88cb975fc completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b355a7dc308190ba8ab0db251592a2 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3567042ac8190aacf4e30da1aa816 completed March 13, 2026, 12:12 a.m.
Created at: March 8, 2026, 3:16 p.m.