Triple

T20559708
Position Surface form Disambiguated ID Type / Status
Subject Sebelas Maret University E504813 entity
Predicate shortName P43 FINISHED
Object UNS
UNS is the commonly used abbreviation for Sebelas Maret University, a prominent public university located in Surakarta, Indonesia.
 E1436971 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: UNS | Statement: [Sebelas Maret University, shortName, UNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNS
Context triple: [Sebelas Maret University, shortName, UNS]
  • A. UNSP
    UNSP is the abbreviation for Urban Night Sky Place, a designation for locations that preserve and promote naturally dark night skies in or near urban areas.
  • B. UN
    The UN is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • C. UN
    UN is the vehicle registration code for the German town of Unna in the state of North Rhine-Westphalia.
  • D. UNT
    UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
  • E. UND
    UND is the men's ice hockey program of the University of North Dakota, one of the most successful and storied teams in NCAA Division I history.
  • 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: UNS
Triple: [Sebelas Maret University, shortName, UNS]
Generated description
UNS is the commonly used abbreviation for Sebelas Maret University, a prominent public university located in Surakarta, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNS
Target entity description: UNS is the commonly used abbreviation for Sebelas Maret University, a prominent public university located in Surakarta, Indonesia.
  • A. UNSP
    UNSP is the abbreviation for Urban Night Sky Place, a designation for locations that preserve and promote naturally dark night skies in or near urban areas.
  • B. UN
    The UN is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • C. UN
    UN is the vehicle registration code for the German town of Unna in the state of North Rhine-Westphalia.
  • D. UNT
    UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
  • E. UND
    UND is the men's ice hockey program of the University of North Dakota, one of the most successful and storied teams in NCAA Division I history.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79d93148190b038814af0a4649a completed April 20, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a57b6df88190a2593cff3b03ff0b completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a6439bc08190a2df7f1f7b24fadb completed May 16, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a08a70118dc8190bdf07bcc3342340e completed May 16, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:38 a.m.