Triple

T14420421
Position Surface form Disambiguated ID Type / Status
Subject Opuntian Locris E357567 entity
Predicate hasCity P316 FINISHED
Object Physkos
Physkos was an ancient city of the Opuntian Locris region in central Greece, likely serving as a small local settlement within this historical Greek territory.
 E1098756 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: Physkos | Statement: [Opuntian Locris, hasCity, Physkos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Physkos
Context triple: [Opuntian Locris, hasCity, Physkos]
  • A. Koropi
    Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
  • B. Pangaion
    Pangaion is a figure from Greek mythology known primarily as a sibling of Ida.
  • C. Pangaion
    Pangaion is a mountain in northern Greece historically known for its rich mineral resources and significance in ancient Macedonian and Thracian history.
  • D. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • E. Pesotum
    Pesotum is a genus of fungi in the family Ophiostomataceae, known for species often associated with wood and bark beetles and implicated in plant diseases.
  • 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: Physkos
Triple: [Opuntian Locris, hasCity, Physkos]
Generated description
Physkos was an ancient city of the Opuntian Locris region in central Greece, likely serving as a small local settlement within this historical Greek territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Physkos
Target entity description: Physkos was an ancient city of the Opuntian Locris region in central Greece, likely serving as a small local settlement within this historical Greek territory.
  • A. Koropi
    Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
  • B. Pangaion
    Pangaion is a figure from Greek mythology known primarily as a sibling of Ida.
  • C. Pangaion
    Pangaion is a mountain in northern Greece historically known for its rich mineral resources and significance in ancient Macedonian and Thracian history.
  • D. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • E. Pesotum
    Pesotum is a genus of fungi in the family Ophiostomataceae, known for species often associated with wood and bark beetles and implicated in plant diseases.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de910eb354819089d5d5a46919eb49 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc961c48190b67dceb2f07977fd completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d078b8081908810acb77be74b2b completed May 8, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69fd5d7e07a08190be5154674f7478fb completed May 8, 2026, 3:50 a.m.
Created at: April 10, 2026, 1:18 a.m.