Triple

T8856082
Position Surface form Disambiguated ID Type / Status
Subject Åboland E210759 entity
Predicate containsSettlement P847 FINISHED
Object Nagu
Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
 E762584 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: Nagu | Statement: [Åboland, containsSettlement, Nagu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nagu
Context triple: [Åboland, containsSettlement, Nagu]
  • A. Nagbe
    Nagbe is the surname of Darlington Nagbe, a professional footballer known for his playmaking skills in Major League Soccer and for the United States national team.
  • B. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • C. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • 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: Nagu
Triple: [Åboland, containsSettlement, Nagu]
Generated description
Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nagu
Target entity description: Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
  • A. Nagbe
    Nagbe is the surname of Darlington Nagbe, a professional footballer known for his playmaking skills in Major League Soccer and for the United States national team.
  • B. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • C. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c7f51881909c847989f31f203a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09e6d388190ba8f5d8516b43bc4 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa246ade0819097fe80a77f32592b completed April 3, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_69cfa2c4833c8190b67c4545af056292 completed April 3, 2026, 11:21 a.m.
Created at: March 30, 2026, 6:50 p.m.