Triple

T7153800
Position Surface form Disambiguated ID Type / Status
Subject Conseil économique et social E166757 entity
Predicate shortName P43 FINISHED
Object CES
CES is the commonly used acronym for the French Conseil économique et social, a national advisory body that provides the government with expert opinions on economic, social, and related policy issues.
E644870 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: CES | Statement: [Conseil économique et social, shortName, CES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CES
Context triple: [Conseil économique et social, shortName, CES]
  • A. CES
    CES is the commonly used abbreviation for the U.S. Committee on Economic Security, the New Deal–era body that helped design foundational social welfare programs like Social Security.
  • B. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • C. CES
    CES is the Center for Entrepreneurial Studies, an academic hub focused on research, education, and support for entrepreneurship and innovation.
  • D. CES
    CES is the IATA airport code for Cessnock Airport, a regional airport serving the Cessnock area in New South Wales, Australia.
  • E. CES
    CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • 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: CES
Triple: [Conseil économique et social, shortName, CES]
Generated description
CES is the commonly used acronym for the French Conseil économique et social, a national advisory body that provides the government with expert opinions on economic, social, and related policy issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CES
Target entity description: CES is the commonly used acronym for the French Conseil économique et social, a national advisory body that provides the government with expert opinions on economic, social, and related policy issues.
  • A. CES
    CES is the commonly used abbreviation for the U.S. Committee on Economic Security, the New Deal–era body that helped design foundational social welfare programs like Social Security.
  • B. CES
    CES is the Center for Entrepreneurial Studies, an academic hub focused on research, education, and support for entrepreneurship and innovation.
  • C. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • D. CES
    CES is a high-resolution astronomical spectrograph used on the ESO 3.6-metre telescope for detailed spectroscopic studies of celestial objects.
  • E. CES
    CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f68384819095e6aef89555442a completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb0ea288190b7eef76de30a3a1e completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:46 p.m.