Triple

T19472037
Position Surface form Disambiguated ID Type / Status
Subject Oinousses E487146 entity
Predicate hasCapital P204 FINISHED
Object Oinoussa
Oinoussa is a small Greek town that serves as the administrative center of the Oinousses island municipality in the Aegean Sea.
E1378250 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: Oinoussa | Statement: [Oinousses, hasCapital, Oinoussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oinoussa
Context triple: [Oinousses, hasCapital, Oinoussa]
  • A. Naurouze
    Naurouze is a locality in southern France known as a key geographical point on the Canal du Midi, marking the watershed between the Atlantic Ocean and the Mediterranean Sea.
  • B. Seiland
    Seiland is a large, rugged island in northern Norway known for its dramatic coastal landscapes and Seiland National Park with glaciers and alpine terrain.
  • C. Mahorais
    Mahorais is a French-based creole language spoken primarily on the island of Mayotte in the Indian Ocean.
  • D. Gamusa
    Gamusa is a traditional Assamese cotton handwoven cloth, typically white with red borders and motifs, used in Assam, India, as a symbol of respect, cultural identity, and everyday utility.
  • E. Eruwa
    Eruwa is a town in southwestern Nigeria known as an agrarian community and local commercial center within Oyo State.
  • 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: Oinoussa
Triple: [Oinousses, hasCapital, Oinoussa]
Generated description
Oinoussa is a small Greek town that serves as the administrative center of the Oinousses island municipality in the Aegean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oinoussa
Target entity description: Oinoussa is a small Greek town that serves as the administrative center of the Oinousses island municipality in the Aegean Sea.
  • A. Naurouze
    Naurouze is a locality in southern France known as a key geographical point on the Canal du Midi, marking the watershed between the Atlantic Ocean and the Mediterranean Sea.
  • B. Seiland
    Seiland is a large, rugged island in northern Norway known for its dramatic coastal landscapes and Seiland National Park with glaciers and alpine terrain.
  • C. Mahorais
    Mahorais is a French-based creole language spoken primarily on the island of Mayotte in the Indian Ocean.
  • D. Gamusa
    Gamusa is a traditional Assamese cotton handwoven cloth, typically white with red borders and motifs, used in Assam, India, as a symbol of respect, cultural identity, and everyday utility.
  • E. Eruwa
    Eruwa is a town in southwestern Nigeria known as an agrarian community and local commercial center within Oyo State.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e8d9188190a4939f03bad89add completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07404fd4348190bc2efbebc7828716 completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a074155addc8190a80e37d8f9d537a8 completed May 15, 2026, 3:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0741e454a48190ac03aa458ca2b3b3 completed May 15, 2026, 3:55 p.m.
Created at: April 10, 2026, 1:39 p.m.