Triple

T11686625
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, University of Indonesia E277761 entity
Predicate shortName P43 FINISHED
Object FHUI
FHUI is the commonly used abbreviation for the Faculty of Law at the University of Indonesia, one of the country’s leading law schools.
 E940981 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: FHUI | Statement: [Faculty of Law, University of Indonesia, shortName, FHUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FHUI
Context triple: [Faculty of Law, University of Indonesia, shortName, FHUI]
  • A. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • B. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • C. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • D. FKUI
    FKUI is the Faculty of Medicine of the University of Indonesia, one of the country’s leading medical education and research institutions.
  • E. FUIW
    FUIW is an international organization that brings together universities and higher education institutions from Islamic countries to promote cooperation in education, science, and culture.
  • 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: FHUI
Triple: [Faculty of Law, University of Indonesia, shortName, FHUI]
Generated description
FHUI is the commonly used abbreviation for the Faculty of Law at the University of Indonesia, one of the country’s leading law schools.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FHUI
Target entity description: FHUI is the commonly used abbreviation for the Faculty of Law at the University of Indonesia, one of the country’s leading law schools.
  • A. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • B. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • C. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • D. FKUI
    FKUI is the Faculty of Medicine of the University of Indonesia, one of the country’s leading medical education and research institutions.
  • E. FUIW
    FUIW is an international organization that brings together universities and higher education institutions from Islamic countries to promote cooperation in education, science, and culture.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.