Triple

T10446526
Position Surface form Disambiguated ID Type / Status
Subject Sittingbourne railway station E246301 entity
Predicate hasStationCode P1289 FINISHED
Object SIT
SIT is the National Rail station code for Sittingbourne railway station in Kent, England.
 E863180 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: SIT | Statement: [Sittingbourne railway station, hasStationCode, SIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIT
Context triple: [Sittingbourne railway station, hasStationCode, SIT]
  • A. SIT
    SIT was the ISO 4217 currency code for the Slovenian tolar, the former national currency of Slovenia before adoption of the euro.
  • B. SIT
    SIT is the Fraunhofer Institute for Secure Information Technology, a leading German research institution focused on cybersecurity and privacy technologies.
  • C. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • D. SITELLE
    SITELLE is an advanced imaging Fourier transform spectrometer used on the Canada–France–Hawaii Telescope to obtain detailed spectral and spatial information across extended astronomical objects.
  • E. SAIT
    SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
  • 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: SIT
Triple: [Sittingbourne railway station, hasStationCode, SIT]
Generated description
SIT is the National Rail station code for Sittingbourne railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIT
Target entity description: SIT is the National Rail station code for Sittingbourne railway station in Kent, England.
  • A. SIT
    SIT was the ISO 4217 currency code for the Slovenian tolar, the former national currency of Slovenia before adoption of the euro.
  • B. SIT
    SIT is the Fraunhofer Institute for Secure Information Technology, a leading German research institution focused on cybersecurity and privacy technologies.
  • C. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • D. SITELLE
    SITELLE is an advanced imaging Fourier transform spectrometer used on the Canada–France–Hawaii Telescope to obtain detailed spectral and spatial information across extended astronomical objects.
  • E. SAIT
    SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdc0520c819098d2d53ee46a89ae completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dce21448190b093b4f548e29f84 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:16 p.m.