Triple

T610966
Position Surface form Disambiguated ID Type / Status
Subject Tiber E12096 entity
Predicate hasTributary P415 FINISHED
Object Chiascio
Chiascio is a river in central Italy that flows through the Umbria region before joining the Tiber.
E76422 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: Chiascio | Statement: [Tiber, hasTributary, Chiascio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiascio
Context triple: [Tiber, hasTributary, Chiascio]
  • A. Racha
    Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
  • B. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • C. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • D. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • E. Cocoon
    Cocoon is a 1985 science fiction comedy-drama film about a group of elderly people who regain youth and vitality after encountering alien life, directed by Ron Howard.
  • 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: Chiascio
Triple: [Tiber, hasTributary, Chiascio]
Generated description
Chiascio is a river in central Italy that flows through the Umbria region before joining the Tiber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chiascio
Target entity description: Chiascio is a river in central Italy that flows through the Umbria region before joining the Tiber.
  • A. Racha
    Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
  • B. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • C. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • D. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • E. Cocoon
    Cocoon is a 1985 science fiction comedy-drama film about a group of elderly people who regain youth and vitality after encountering alien life, directed by Ron Howard.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df7c088819082eb70de4f0f4fbf completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52eacec94819094e920ab1c0659e8 completed March 2, 2026, 6:31 a.m.
NEDg Description generation batch_69a53062c138819095262b45396fc97a completed March 2, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69a530f8c6b08190b987016e8e8c11b6 completed March 2, 2026, 6:40 a.m.
Created at: March 1, 2026, 7:35 p.m.