Triple

T17279725
Position Surface form Disambiguated ID Type / Status
Subject Strada Statale 115 E419489 entity
Predicate hasRoadNumber P1864 FINISHED
Object SS 115
SS 115 is an Italian state highway in Sicily that runs along the island’s southern coast, connecting several major towns and cities.
 E1260687 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: SS 115 | Statement: [Strada Statale 115, hasRoadNumber, SS 115]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SS 115
Context triple: [Strada Statale 115, hasRoadNumber, SS 115]
  • A. SS 163
    SS 163 is a famed scenic coastal road along Italy’s Amalfi Coast, renowned for its dramatic cliffs, sea views, and winding route between picturesque seaside towns.
  • B. SS16
    SS16 is a commercial and residential neighborhood in Subang Jaya, Selangor, Malaysia, known for its shopping centers, offices, and urban amenities.
  • C. SS15
    SS15 is a postcode district in the SS area of Essex, England, covering parts of Basildon such as Laindon and Steeple View.
  • D. SS15
    SS15 is a popular commercial and residential hub in Subang Jaya, Malaysia, known for its vibrant food scene, cafes, and student population.
  • E. S11
    S11 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving regional passenger traffic across the metropolitan area.
  • 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: SS 115
Triple: [Strada Statale 115, hasRoadNumber, SS 115]
Generated description
SS 115 is an Italian state highway in Sicily that runs along the island’s southern coast, connecting several major towns and cities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SS 115
Target entity description: SS 115 is an Italian state highway in Sicily that runs along the island’s southern coast, connecting several major towns and cities.
  • A. SS 163
    SS 163 is a famed scenic coastal road along Italy’s Amalfi Coast, renowned for its dramatic cliffs, sea views, and winding route between picturesque seaside towns.
  • B. SS16
    SS16 is a commercial and residential neighborhood in Subang Jaya, Selangor, Malaysia, known for its shopping centers, offices, and urban amenities.
  • C. SS15
    SS15 is a postcode district in the SS area of Essex, England, covering parts of Basildon such as Laindon and Steeple View.
  • D. SS15
    SS15 is a popular commercial and residential hub in Subang Jaya, Malaysia, known for its vibrant food scene, cafes, and student population.
  • E. S11
    S11 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving regional passenger traffic across the metropolitan area.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e433286f6c8190bf4a757707707e22 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179513ffc81908bac515823e88a1a completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017c351e908190bcd7bb751dc7f949 completed May 11, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_6a017cad99688190aeaa388bf2d7d603 completed May 11, 2026, 6:52 a.m.
Created at: April 10, 2026, 5:40 a.m.