Triple

T6569492
Position Surface form Disambiguated ID Type / Status
Subject Upolu E155396 entity
Predicate hasCity P316 FINISHED
Object Faleula
Faleula is a village on the island of Upolu in Samoa, known for its coastal location and traditional Samoan community life.
 E602165 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: Faleula | Statement: [Upolu, hasCity, Faleula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faleula
Context triple: [Upolu, hasCity, Faleula]
  • A. Gavutu
    Gavutu is a small island in the Central Province of the Solomon Islands, historically notable as a strategic site during World War II.
  • B. Marovo
    Marovo is an Oceanic language spoken by communities in the Solomon Islands, particularly around the Marovo Lagoon in Western Province.
  • C. Roviana
    Roviana is an Oceanic language spoken primarily in the Western Province of the Solomon Islands, particularly around the Roviana Lagoon.
  • D. Tulagi
    Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
  • E. Tolitoli
    Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
  • 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: Faleula
Triple: [Upolu, hasCity, Faleula]
Generated description
Faleula is a village on the island of Upolu in Samoa, known for its coastal location and traditional Samoan community life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faleula
Target entity description: Faleula is a village on the island of Upolu in Samoa, known for its coastal location and traditional Samoan community life.
  • A. Gavutu
    Gavutu is a small island in the Central Province of the Solomon Islands, historically notable as a strategic site during World War II.
  • B. Marovo
    Marovo is an Oceanic language spoken by communities in the Solomon Islands, particularly around the Marovo Lagoon in Western Province.
  • C. Roviana
    Roviana is an Oceanic language spoken primarily in the Western Province of the Solomon Islands, particularly around the Roviana Lagoon.
  • D. Tulagi
    Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
  • E. Tolitoli
    Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae56116c81909ab2fc0877363406 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb964fe48190a28fc50426d7c5d4 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd071be4819090d6adf0e27c99d2 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce04855481908bfca416fda8c218 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:53 p.m.