Triple

T14791077
Position Surface form Disambiguated ID Type / Status
Subject Ratu Jope Seniloli E347655 entity
Predicate givenName P17 FINISHED
Object Jope
Jope is the given name of Ratu Jope Seniloli, a Fijian chief and former vice-president of Fiji.
E1120206 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: Jope | Statement: [Ratu Jope Seniloli, givenName, Jope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jope
Context triple: [Ratu Jope Seniloli, givenName, Jope]
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Joppe
    Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
  • C. Kopsenni
    Kopsenni is the highest peak on the Faroe Islands' main island of Streymoy, known for its rugged terrain and scenic North Atlantic views.
  • D. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • E. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • 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: Jope
Triple: [Ratu Jope Seniloli, givenName, Jope]
Generated description
Jope is the given name of Ratu Jope Seniloli, a Fijian chief and former vice-president of Fiji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jope
Target entity description: Jope is the given name of Ratu Jope Seniloli, a Fijian chief and former vice-president of Fiji.
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Joppe
    Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
  • C. Kopsenni
    Kopsenni is the highest peak on the Faroe Islands' main island of Streymoy, known for its rugged terrain and scenic North Atlantic views.
  • D. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • E. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • 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_69d822ea8b7c819097dfadf3d45545e6 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.