Triple

T15483592
Position Surface form Disambiguated ID Type / Status
Subject Sonsorol Islands E376982 entity
Predicate hasSettlement P1068 FINISHED
Object Fanna
Fanna is a small inhabited settlement located in the remote Sonsorol Islands of the island nation of Palau in the western Pacific Ocean.
 E1158540 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: Fanna | Statement: [Sonsorol Islands, hasSettlement, Fanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fanna
Context triple: [Sonsorol Islands, hasSettlement, Fanna]
  • A. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • B. Mirani
    Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
  • C. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • D. Ranyah
    Ranyah is a town and governorate in western Saudi Arabia known for its desert landscape and agricultural activities, particularly date farming.
  • E. Fana
    Fana is a South African actor and politician known for his roles in films such as "Hotel Rwanda" and "World War Z."
  • 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: Fanna
Triple: [Sonsorol Islands, hasSettlement, Fanna]
Generated description
Fanna is a small inhabited settlement located in the remote Sonsorol Islands of the island nation of Palau in the western Pacific Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fanna
Target entity description: Fanna is a small inhabited settlement located in the remote Sonsorol Islands of the island nation of Palau in the western Pacific Ocean.
  • A. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • B. Mirani
    Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
  • C. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • D. Ranyah
    Ranyah is a town and governorate in western Saudi Arabia known for its desert landscape and agricultural activities, particularly date farming.
  • E. Fana
    Fana is a South African actor and politician known for his roles in films such as "Hotel Rwanda" and "World War Z."
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0f4e648190b9cd9b1464209224 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2de2d82c819085d903a538313e70 completed May 9, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69ff2ea08ad08190b3ecf29bfe7a809a completed May 9, 2026, 12:54 p.m.
Created at: April 10, 2026, 3:45 a.m.