Triple

T3374957
Position Surface form Disambiguated ID Type / Status
Subject Taveuni E71043 entity
Predicate mainTown P13187 FINISHED
Object Waiyevo
Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
 E354374 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: Waiyevo | Statement: [Taveuni, mainTown, Waiyevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waiyevo
Context triple: [Taveuni, mainTown, Waiyevo]
  • A. Walo
    Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
  • B. Wadomari
    Wadomari is a small coastal town on Okinoerabujima in Japan’s Kagoshima Prefecture, known for its subtropical climate and role as a local hub in the Amami archipelago.
  • C. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Ovilava
    Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
  • 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: Waiyevo
Triple: [Taveuni, mainTown, Waiyevo]
Generated description
Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waiyevo
Target entity description: Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
  • A. Walo
    Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
  • B. Wadomari
    Wadomari is a small coastal town on Okinoerabujima in Japan’s Kagoshima Prefecture, known for its subtropical climate and role as a local hub in the Amami archipelago.
  • C. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Ovilava
    Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e5fc6c81909ff582611751096d completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bbfaf3081908babba216c7da776 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34e45a6c08190a0011eaa60f3d50a completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34eba517881908806b1ac285448ff completed March 12, 2026, 11:39 p.m.
Created at: March 8, 2026, 3:13 p.m.