Triple

T5974847
Position Surface form Disambiguated ID Type / Status
Subject Hasanuddin University E132960 entity
Predicate shortName P43 FINISHED
Object Unhas
Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
 E560198 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: Unhas | Statement: [Hasanuddin University, shortName, Unhas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unhas
Context triple: [Hasanuddin University, shortName, Unhas]
  • A. Unas
    Unas was the last pharaoh of Egypt’s Fifth Dynasty, best known for being the first ruler to inscribe the Pyramid Texts in his burial monument at Saqqara.
  • B. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • C. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • 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: Unhas
Triple: [Hasanuddin University, shortName, Unhas]
Generated description
Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unhas
Target entity description: Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
  • A. Unas
    Unas was the last pharaoh of Egypt’s Fifth Dynasty, best known for being the first ruler to inscribe the Pyramid Texts in his burial monument at Saqqara.
  • B. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • C. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a39c9d08190a78e1e3268584eb5 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e41459c88190a9e0ee0321946e57 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f70f5af08190a42233eaf6fbf736 completed March 23, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0f8c533f881908a4f7d84a7e8ee31 completed March 23, 2026, 8:24 a.m.
Created at: March 22, 2026, 4:03 p.m.