Triple

T9747732
Position Surface form Disambiguated ID Type / Status
Subject S20 Outer Ring Expressway E236358 entity
Predicate hasRouteNumber P1864 FINISHED
Object S20
S20 is a Chinese expressway route designation used for the S20 Outer Ring Expressway.
 E817631 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: S20 | Statement: [S20 Outer Ring Expressway, hasRouteNumber, S20]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S20
Context triple: [S20 Outer Ring Expressway, hasRouteNumber, S20]
  • A. S200
    S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
  • B. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • C. S2
    S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
  • D. S2
    S2 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and serves suburban areas around Munich.
  • E. S2
    S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • 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: S20
Triple: [S20 Outer Ring Expressway, hasRouteNumber, S20]
Generated description
S20 is a Chinese expressway route designation used for the S20 Outer Ring Expressway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S20
Target entity description: S20 is a Chinese expressway route designation used for the S20 Outer Ring Expressway.
  • A. S200
    S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
  • B. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • C. S2
    S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
  • D. S2
    S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • E. S2
    S2 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and serves suburban areas around Munich.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f677830819096d388b9c798ecd5 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f8eacc81909643c6f74e049faa completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b153fec481909a289b14789f0a40 completed April 5, 2026, 12:48 a.m.
Created at: March 30, 2026, 8:23 p.m.