Triple

T3608191
Position Surface form Disambiguated ID Type / Status
Subject Chiascio E76422 entity
Predicate hasTributary P415 FINISHED
Object Assino
Assino is a minor river in central Italy that flows through Umbria before joining the Chiascio River.
 E374120 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: Assino | Statement: [Chiascio, hasTributary, Assino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Assino
Context triple: [Chiascio, hasTributary, Assino]
  • A. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • B. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • C. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • D. Nati
    Nati is a traditional folk dance of the Kullu region in Himachal Pradesh, India, known for its graceful group formations and cultural significance in local festivals.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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: Assino
Triple: [Chiascio, hasTributary, Assino]
Generated description
Assino is a minor river in central Italy that flows through Umbria before joining the Chiascio River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Assino
Target entity description: Assino is a minor river in central Italy that flows through Umbria before joining the Chiascio River.
  • A. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • B. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • C. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • D. Nati
    Nati is a traditional folk dance of the Kullu region in Himachal Pradesh, India, known for its graceful group formations and cultural significance in local festivals.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc228e24481909ae6a1e4ad796917 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.