Triple

T4594052
Position Surface form Disambiguated ID Type / Status
Subject Center for Entrepreneurial Studies E103564 entity
Predicate hasAbbreviation P43 FINISHED
Object CES
CES is the Center for Entrepreneurial Studies, an academic hub focused on research, education, and support for entrepreneurship and innovation.
 E455543 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: [Center for Entrepreneurial Studies, hasAbbreviation, CES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CES
Context triple: [Center for Entrepreneurial Studies, hasAbbreviation, 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 a high-resolution astronomical spectrograph used on the ESO 3.6-metre telescope for detailed spectroscopic studies of celestial objects.
  • C. CES
    CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • D. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • E. MWC
    MWC is the commonly used abbreviation for Mennonite World Conference, a global community and fellowship of Anabaptist-related churches.
  • 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: [Center for Entrepreneurial Studies, hasAbbreviation, CES]
Generated description
CES is the Center for Entrepreneurial Studies, an academic hub focused on research, education, and support for entrepreneurship and innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CES
Target entity description: CES is the Center for Entrepreneurial Studies, an academic hub focused on research, education, and support for entrepreneurship and innovation.
  • 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 a high-resolution astronomical spectrograph used on the ESO 3.6-metre telescope for detailed spectroscopic studies of celestial objects.
  • D. CES
    CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • E. MWC
    MWC is the commonly used abbreviation for Mennonite World Conference, a global community and fellowship of Anabaptist-related churches.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593e115081909b11149e02fe4ef3 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0d7fce08190ac1e81b789a8242a completed March 21, 2026, 12:05 a.m.
NEDg Description generation batch_69bdf01ae4848190a1db1801a35aa687 completed March 21, 2026, 1:10 a.m.
NED2 Entity disambiguation (via description) batch_69bdf06f79488190812e7c55d2456d51 completed March 21, 2026, 1:12 a.m.
Created at: March 20, 2026, 1:11 p.m.