Triple

T5671313
Position Surface form Disambiguated ID Type / Status
Subject A91 Rome–Fiumicino motorway E124983 entity
Predicate hasRouteNumber P1864 FINISHED
Object A91
A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
 E535715 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: A91 | Statement: [A91 Rome–Fiumicino motorway, hasRouteNumber, A91]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A91
Context triple: [A91 Rome–Fiumicino motorway, hasRouteNumber, A91]
  • A. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • B. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • C. A96
    A96 is a major German autobahn in southern Bavaria that connects Munich with Lindau near the Austrian and Swiss borders.
  • D. A92
    A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
  • E. A419
    The A419 is a major road in England that links Swindon with Gloucester, serving as an important regional route in the southwest.
  • 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: A91
Triple: [A91 Rome–Fiumicino motorway, hasRouteNumber, A91]
Generated description
A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A91
Target entity description: A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
  • A. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • B. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • C. A96
    A96 is a major German autobahn in southern Bavaria that connects Munich with Lindau near the Austrian and Swiss borders.
  • D. A92
    A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
  • E. A419
    The A419 is a major road in England that links Swindon with Gloucester, serving as an important regional route in the southwest.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0236d3f94819095111c41a323612d completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db2c07c8190a3ee489146951d2d completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.