Triple

T9782111
Position Surface form Disambiguated ID Type / Status
Subject Sidcup railway station E237399 entity
Predicate stationCode P1289 FINISHED
Object SID
SID is the three-letter National Rail station code assigned to Sidcup railway station in southeast London, England.
 E820835 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: SID | Statement: [Sidcup railway station, stationCode, SID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SID
Context triple: [Sidcup railway station, stationCode, SID]
  • A. SID
    SID is the IATA airport code for Amílcar Cabral International Airport, the main airport on Sal Island in Cape Verde.
  • B. Si
    Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
  • C. SI
    SI is the post-nominal abbreviation used to denote recipients of Pakistan’s Sitara-e-Imtiaz, one of the country’s highest civilian honors.
  • D. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • E. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • 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: SID
Triple: [Sidcup railway station, stationCode, SID]
Generated description
SID is the three-letter National Rail station code assigned to Sidcup railway station in southeast London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SID
Target entity description: SID is the three-letter National Rail station code assigned to Sidcup railway station in southeast London, England.
  • A. SID
    SID is the IATA airport code for Amílcar Cabral International Airport, the main airport on Sal Island in Cape Verde.
  • B. Si
    Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
  • C. SI
    SI is the post-nominal abbreviation used to denote recipients of Pakistan’s Sitara-e-Imtiaz, one of the country’s highest civilian honors.
  • D. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • E. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41b31b08190937f374c2d51aa1b completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4a087208190b81ae9d40de08ab9 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c4fe71308190ac08e30c98611ed6 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:27 p.m.