Triple

T10551957
Position Surface form Disambiguated ID Type / Status
Subject College of Education and Human Ecology E248972 entity
Predicate shortName P43 FINISHED
Object EHE
EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
 E870276 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: EHE | Statement: [College of Education and Human Ecology, shortName, EHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EHE
Context triple: [College of Education and Human Ecology, shortName, EHE]
  • A. EHE
    EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • B. EHEH
    EHEH is the ICAO airport code for Eindhoven Airport, a major regional airport in the Netherlands.
  • C. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • D. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • E. EH
    EH is the IATA airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
  • 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: EHE
Triple: [College of Education and Human Ecology, shortName, EHE]
Generated description
EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EHE
Target entity description: EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
  • A. EHE
    EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • B. EHEH
    EHEH is the ICAO airport code for Eindhoven Airport, a major regional airport in the Netherlands.
  • C. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • D. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • E. EH
    EH is the IATA airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d5820c8190a1ad6d6551d093bb completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d934639b3481908204db41101132c3 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c8b25c8190bb048053d8668e5c completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d939b1844881908c8fbcb9488863f6 completed April 10, 2026, 5:56 p.m.
Created at: April 6, 2026, 12:34 p.m.