Triple

T11356225
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, University of Indonesia E268958 entity
Predicate shortName P43 FINISHED
Object FKUI
FKUI is the Faculty of Medicine of the University of Indonesia, one of the country’s leading medical education and research institutions.
 E920880 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: FKUI | Statement: [Faculty of Medicine, University of Indonesia, shortName, FKUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FKUI
Context triple: [Faculty of Medicine, University of Indonesia, shortName, FKUI]
  • A. FKi
    FKi is an Atlanta-based production duo known for their trap-influenced hip-hop beats and collaborations with prominent rap artists.
  • B. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • C. FK
    FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
  • D. FK
    FK is the common abbreviation for the Swedish Social Insurance Agency, the government body responsible for administering social security benefits in Sweden.
  • E. FKM UI
    FKM UI is the Faculty of Public Health at the University of Indonesia, a leading institution for education and research in public health in the country.
  • 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: FKUI
Triple: [Faculty of Medicine, University of Indonesia, shortName, FKUI]
Generated description
FKUI is the Faculty of Medicine of the University of Indonesia, one of the country’s leading medical education and research institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FKUI
Target entity description: FKUI is the Faculty of Medicine of the University of Indonesia, one of the country’s leading medical education and research institutions.
  • A. FKi
    FKi is an Atlanta-based production duo known for their trap-influenced hip-hop beats and collaborations with prominent rap artists.
  • B. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • C. FK
    FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
  • D. FK
    FK is the common abbreviation for the Swedish Social Insurance Agency, the government body responsible for administering social security benefits in Sweden.
  • E. FKM UI
    FKM UI is the Faculty of Public Health at the University of Indonesia, a leading institution for education and research in public health in the country.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.