Triple

T2047585
Position Surface form Disambiguated ID Type / Status
Subject A7 motorway E45488 entity
Predicate routeNumber P1864 FINISHED
Object A7
A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
 E228222 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: A7 | Statement: [A7 motorway, routeNumber, A7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A7
Context triple: [A7 motorway, routeNumber, A7]
  • A. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • D. B7
    B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
  • E. AA77
    AA77 is the IATA flight number that designated American Airlines Flight 77, the Boeing 757 hijacked and crashed into the Pentagon during the September 11, 2001 terrorist attacks.
  • 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: A7
Triple: [A7 motorway, routeNumber, A7]
Generated description
A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A7
Target entity description: A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • A. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • D. B7
    B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
  • E. AA77
    AA77 is the IATA flight number that designated American Airlines Flight 77, the Boeing 757 hijacked and crashed into the Pentagon during the September 11, 2001 terrorist attacks.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb974e8488190887b840c2cb88b3a completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2003e9488190b54ff042c91d4a62 completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae209544d881909438630ca5970d84 completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae210b7b888190a879effa9d1e6ac3 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:39 p.m.