Triple

T9645867
Position Surface form Disambiguated ID Type / Status
Subject S4 Hujin Expressway E233192 entity
Predicate hasAbbreviation P43 FINISHED
Object S4
S4 is a major expressway in China commonly referred to as the Hujin Expressway, connecting Shanghai with nearby Jinshan.
 E812168 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: S4 | Statement: [S4 Hujin Expressway, hasAbbreviation, S4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S4
Context triple: [S4 Hujin Expressway, hasAbbreviation, S4]
  • A. S4
    S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
  • B. S4
    S4 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • C. S4
    S4 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and connects Munich with its surrounding suburbs.
  • D. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • E. S45
    S45 is the FAA location identifier for Siletz Bay State Airport, a public airport serving the Lincoln City area in Oregon, United States.
  • 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: S4
Triple: [S4 Hujin Expressway, hasAbbreviation, S4]
Generated description
S4 is a major expressway in China commonly referred to as the Hujin Expressway, connecting Shanghai with nearby Jinshan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S4
Target entity description: S4 is a major expressway in China commonly referred to as the Hujin Expressway, connecting Shanghai with nearby Jinshan.
  • A. S4
    S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
  • B. S4
    S4 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • C. S4
    S4 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and connects Munich with its surrounding suburbs.
  • D. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • E. S45
    S45 is the FAA location identifier for Siletz Bay State Airport, a public airport serving the Lincoln City area in Oregon, United States.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b8122148190bd0af3a04b21e53e completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18258489081909f0b328e223777fc completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d1842a39ac8190a43323c29316df08 completed April 4, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1849df0a481908777fa263fe8bd10 completed April 4, 2026, 9:37 p.m.
Created at: March 30, 2026, 8:12 p.m.