Triple

T13966716
Position Surface form Disambiguated ID Type / Status
Subject Poros E335942 entity
Predicate hasSettlement P1068 FINISHED
Object Askeli
Askeli is a coastal village and popular beach resort area on the Greek island of Poros.
E1072134 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: Askeli | Statement: [Poros, hasSettlement, Askeli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askeli
Context triple: [Poros, hasSettlement, Askeli]
  • A. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • B. Ashaki
    Ashaki is known as the spouse of Geronimo Pratt, a prominent former Black Panther Party leader and civil rights activist.
  • C. Akhasheni
    Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
  • D. Akaki
    Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
  • E. Asen
    Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
  • 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: Askeli
Triple: [Poros, hasSettlement, Askeli]
Generated description
Askeli is a coastal village and popular beach resort area on the Greek island of Poros.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Askeli
Target entity description: Askeli is a coastal village and popular beach resort area on the Greek island of Poros.
  • A. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • B. Ashaki
    Ashaki is known as the spouse of Geronimo Pratt, a prominent former Black Panther Party leader and civil rights activist.
  • C. Akhasheni
    Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
  • D. Akaki
    Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
  • E. Asen
    Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8c9e988190a84c9ca8a78b515f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1da70588190a6c9a3895d92be5b completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba74a96b08190a08c51c231e49e5d completed May 6, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fba8585fb08190998d6a005dc0bd31 completed May 6, 2026, 8:45 p.m.
Created at: April 9, 2026, 10:18 p.m.