Triple

T3820778
Position Surface form Disambiguated ID Type / Status
Subject Commission on Economic and Community Engagement E84366 entity
Predicate shortName P43 FINISHED
Object CECE
CECE is an organization focused on promoting economic development and strengthening community engagement initiatives.
 E391855 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: CECE | Statement: [Commission on Economic and Community Engagement, shortName, CECE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CECE
Context triple: [Commission on Economic and Community Engagement, shortName, CECE]
  • A. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • B. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • C. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • 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. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • 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: CECE
Triple: [Commission on Economic and Community Engagement, shortName, CECE]
Generated description
CECE is an organization focused on promoting economic development and strengthening community engagement initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CECE
Target entity description: CECE is an organization focused on promoting economic development and strengthening community engagement initiatives.
  • A. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • B. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • C. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • 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. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea61a63c819086e16b89d2ea2157 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4998248190b4174dd80a8e790c completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4ffcf7e24819098cf2e46b92bed4a completed March 14, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69b500596e308190a31e44c24de3f31d completed March 14, 2026, 6:29 a.m.
Created at: March 9, 2026, 3:17 p.m.