Triple

T4653573
Position Surface form Disambiguated ID Type / Status
Subject Anhui University E102354 entity
Predicate shortName P43 FINISHED
Object AHD
AHD is the abbreviated name commonly used for Anhui University, a major comprehensive public university in Anhui Province, China.
 E457253 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: AHD | Statement: [Anhui University, shortName, AHD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AHD
Context triple: [Anhui University, shortName, AHD]
  • A. HDX
    HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
  • B. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • C. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • D. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • E. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • 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: AHD
Triple: [Anhui University, shortName, AHD]
Generated description
AHD is the abbreviated name commonly used for Anhui University, a major comprehensive public university in Anhui Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AHD
Target entity description: AHD is the abbreviated name commonly used for Anhui University, a major comprehensive public university in Anhui Province, China.
  • A. HDX
    HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
  • B. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • C. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • D. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • E. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631623d881908a59dafa7702af54 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaef125c819097d79f25608302dc completed March 21, 2026, 1:57 a.m.
NEDg Description generation batch_69bdfc0964c881909e6b98a1c8ea747f completed March 21, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69bdfce1be788190ae3418df301e5136 completed March 21, 2026, 2:05 a.m.
Created at: March 20, 2026, 1:14 p.m.