Triple

T11562049
Position Surface form Disambiguated ID Type / Status
Subject Isnello E274166 entity
Predicate locatedNear P294 FINISHED
Object Scillato
Scillato is a small municipality in the Metropolitan City of Palermo in Sicily, Italy, known for its rural landscape and proximity to the Madonie mountains.
 E933530 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: Scillato | Statement: [Isnello, locatedNear, Scillato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scillato
Context triple: [Isnello, locatedNear, Scillato]
  • A. Achilla
    Achilla is a military commander and antagonist in George Frideric Handel’s Baroque opera "Giulio Cesare in Egitto."
  • B. Scandriglia
    Scandriglia is a small Italian municipality in the Lazio region, known for its historic hilltop setting and proximity to the Apennine mountains.
  • C. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • D. Scoglio
    Scoglio is the Italian family name of actress Gia Scala, reflecting her Italian heritage.
  • E. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • 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: Scillato
Triple: [Isnello, locatedNear, Scillato]
Generated description
Scillato is a small municipality in the Metropolitan City of Palermo in Sicily, Italy, known for its rural landscape and proximity to the Madonie mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scillato
Target entity description: Scillato is a small municipality in the Metropolitan City of Palermo in Sicily, Italy, known for its rural landscape and proximity to the Madonie mountains.
  • A. Achilla
    Achilla is a military commander and antagonist in George Frideric Handel’s Baroque opera "Giulio Cesare in Egitto."
  • B. Scandriglia
    Scandriglia is a small Italian municipality in the Lazio region, known for its historic hilltop setting and proximity to the Apennine mountains.
  • C. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • D. Scoglio
    Scoglio is the Italian family name of actress Gia Scala, reflecting her Italian heritage.
  • E. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e89e73b481908175576f4ec8d39a completed April 21, 2026, 3:01 a.m.
NEDg Description generation batch_69e6ef951eb881909810b5923385c4c6 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f92ed97c819081576add624dcc27 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.