Triple

T10072555
Position Surface form Disambiguated ID Type / Status
Subject Pagasetic Gulf E213664 entity
Predicate hasIsland P970 FINISHED
Object Alatas
Alatas is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the Pelion peninsula.
E839684 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: Alatas | Statement: [Pagasetic Gulf, hasIsland, Alatas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alatas
Context triple: [Pagasetic Gulf, hasIsland, Alatas]
  • A. Umrangso
    Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
  • B. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • C. Tatitlek
    Tatitlek is a small Alaska Native village in south-central Alaska, traditionally inhabited by the Alutiiq people and known for its subsistence lifestyle and coastal setting.
  • D. Tagbanwa
    Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
  • E. Maufra
    Maufra is a French surname most notably associated with the landscape painter and printmaker Maxime Maufra, linked to the Impressionist and Pont-Aven movements.
  • 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: Alatas
Triple: [Pagasetic Gulf, hasIsland, Alatas]
Generated description
Alatas is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the Pelion peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alatas
Target entity description: Alatas is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the Pelion peninsula.
  • A. Umrangso
    Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
  • B. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • C. Tatitlek
    Tatitlek is a small Alaska Native village in south-central Alaska, traditionally inhabited by the Alutiiq people and known for its subsistence lifestyle and coastal setting.
  • D. Tagbanwa
    Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
  • E. Maufra
    Maufra is a French surname most notably associated with the landscape painter and printmaker Maxime Maufra, linked to the Impressionist and Pont-Aven movements.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd013c9d0819091ebe6fc399832de completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ab376488190bfb3efdb3f240cca completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29d670ce881909e9881235790d9ff completed April 5, 2026, 5:35 p.m.
NED2 Entity disambiguation (via description) batch_69d29e0779608190828c81cc8868bae2 completed April 5, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:59 p.m.