Triple

T13320900
Position Surface form Disambiguated ID Type / Status
Subject Shandong University E317310 entity
Predicate abbreviation P43 FINISHED
Object SDU
SDU is a major comprehensive public research university located in Shandong Province, China.
E1033675 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: SDU | Statement: [Shandong University, abbreviation, SDU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SDU
Context triple: [Shandong University, abbreviation, SDU]
  • A. SDU
    SDU is the IATA airport code for Santos Dumont Airport, a major domestic airport serving Rio de Janeiro, Brazil.
  • B. SDUC
    SDUC is a high-capacity Secure Digital (SD) memory card specification designed to support very large storage sizes and faster data transfer rates for modern devices.
  • C. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • D. SDA
    SDA is a major Bosniak nationalist and conservative political party in Bosnia and Herzegovina, formally known as the Party of Democratic Action.
  • E. SDA
    SDA is the standard abbreviation for the SD Association, the industry group that sets specifications for Secure Digital (SD) memory cards and related technologies.
  • 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: SDU
Triple: [Shandong University, abbreviation, SDU]
Generated description
SDU is a major comprehensive public research university located in Shandong Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SDU
Target entity description: SDU is a major comprehensive public research university located in Shandong Province, China.
  • A. SDU
    SDU is the IATA airport code for Santos Dumont Airport, a major domestic airport serving Rio de Janeiro, Brazil.
  • B. SDUC
    SDUC is a high-capacity Secure Digital (SD) memory card specification designed to support very large storage sizes and faster data transfer rates for modern devices.
  • C. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • D. SDA
    SDA is a major Bosniak nationalist and conservative political party in Bosnia and Herzegovina, formally known as the Party of Democratic Action.
  • E. SDA
    SDA is the standard abbreviation for the SD Association, the industry group that sets specifications for Secure Digital (SD) memory cards and related technologies.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ee695c81909ffeeb0901ee66c1 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717f4d80c8190a1a95c0f2c83c563 completed May 3, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69f718b852808190a2a0fb48424bffb0 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:30 p.m.