Triple

T5032341
Position Surface form Disambiguated ID Type / Status
Subject Yale School of the Environment E113335 entity
Predicate abbreviation P43 FINISHED
Object YSE
YSE is a graduate professional school at Yale University focused on environmental science, policy, and management.
 E487584 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: YSE | Statement: [Yale School of the Environment, abbreviation, YSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YSE
Context triple: [Yale School of the Environment, abbreviation, YSE]
  • A. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • B. YEI
    YEI is the IATA airport code for Bursa Yenişehir Airport, a regional airport serving the Bursa area in Turkey.
  • C. YLE
    YLE is Finland’s national public broadcasting company, providing television, radio, and online services across the country.
  • D. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • E. EYW
    EYW is the IATA airport code for Key West International Airport, a small commercial airport serving Key West in the Florida Keys, USA.
  • 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: YSE
Triple: [Yale School of the Environment, abbreviation, YSE]
Generated description
YSE is a graduate professional school at Yale University focused on environmental science, policy, and management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YSE
Target entity description: YSE is a graduate professional school at Yale University focused on environmental science, policy, and management.
  • A. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • B. YEI
    YEI is the IATA airport code for Bursa Yenişehir Airport, a regional airport serving the Bursa area in Turkey.
  • C. YLE
    YLE is Finland’s national public broadcasting company, providing television, radio, and online services across the country.
  • D. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • E. EYW
    EYW is the IATA airport code for Key West International Airport, a small commercial airport serving Key West in the Florida Keys, USA.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b4d1708190aa1fa63104555f8a completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6df1b88190ad61c87a28312957 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d0b87d48190a2f75e7c6e472d94 completed March 21, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69be9d6b81888190b203988b37306df2 completed March 21, 2026, 1:30 p.m.
Created at: March 20, 2026, 1:36 p.m.