Triple

T14790691
Position Surface form Disambiguated ID Type / Status
Subject Sitiveni Rabuka E347645 entity
Predicate familyName P18 FINISHED
Object Rabuka
Rabuka is a Fijian politician and former military officer best known for leading the 1987 coups and later serving as Prime Minister of Fiji.
 E1120180 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: Rabuka | Statement: [Sitiveni Rabuka, familyName, Rabuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rabuka
Context triple: [Sitiveni Rabuka, familyName, Rabuka]
  • A. Skuta
    Skuta is a prominent mountain peak in Slovenia known for its rugged alpine terrain and scenic hiking and climbing routes.
  • B. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • C. Bahzani
    Bahzani is a town in northern Iraq, traditionally inhabited by Yazidis and other minorities, located near Bashiqa in the Nineveh Governorate.
  • D. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • E. Laza
    Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
  • 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: Rabuka
Triple: [Sitiveni Rabuka, familyName, Rabuka]
Generated description
Rabuka is a Fijian politician and former military officer best known for leading the 1987 coups and later serving as Prime Minister of Fiji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rabuka
Target entity description: Rabuka is a Fijian politician and former military officer best known for leading the 1987 coups and later serving as Prime Minister of Fiji.
  • A. Skuta
    Skuta is a prominent mountain peak in Slovenia known for its rugged alpine terrain and scenic hiking and climbing routes.
  • B. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • C. Bahzani
    Bahzani is a town in northern Iraq, traditionally inhabited by Yazidis and other minorities, located near Bashiqa in the Nineveh Governorate.
  • D. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • E. Laza
    Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5d134c819080ee788b2e34163a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bc8464819096b019f1e927d1a9 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe27e699688190952b6a4b922e3294 completed May 8, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69fe2896057881908b3947d9649739e7 completed May 8, 2026, 6:16 p.m.
Created at: April 10, 2026, 1:31 a.m.