Triple

T11284006
Position Surface form Disambiguated ID Type / Status
Subject Swanley railway station E267137 entity
Predicate hasStationCode P1289 FINISHED
Object SAY
SAY is the National Rail station code assigned to Swanley railway station in Kent, England.
 E915379 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: SAY | Statement: [Swanley railway station, hasStationCode, SAY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAY
Context triple: [Swanley railway station, hasStationCode, SAY]
  • A. Say
    Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
  • B. Say What!
    "Say What!" is a track by the British dance music group Soul II Soul, known for their influential blend of R&B, soul, and club music in the late 1980s and early 1990s.
  • C. Say Say Say
    "Say Say Say" is a 1983 pop duet by Paul McCartney and Michael Jackson that became a major international hit and is noted for its catchy melody and high-profile collaboration.
  • D. Say What
    Say What is a track from LL Cool J’s acclaimed hip-hop album "G.O.A.T. (Greatest of All Time)."
  • E. Who Says
    "Who Says" is a 2009 pop-rock single by John Mayer, known for its laid-back acoustic style and introspective lyrics about personal freedom and self-acceptance.
  • 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: SAY
Triple: [Swanley railway station, hasStationCode, SAY]
Generated description
SAY is the National Rail station code assigned to Swanley railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAY
Target entity description: SAY is the National Rail station code assigned to Swanley railway station in Kent, England.
  • A. Say
    Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
  • B. Say What!
    "Say What!" is a track by the British dance music group Soul II Soul, known for their influential blend of R&B, soul, and club music in the late 1980s and early 1990s.
  • C. Say Say Say
    "Say Say Say" is a 1983 pop duet by Paul McCartney and Michael Jackson that became a major international hit and is noted for its catchy melody and high-profile collaboration.
  • D. Say What
    Say What is a track from LL Cool J’s acclaimed hip-hop album "G.O.A.T. (Greatest of All Time)."
  • E. Who Says
    "Who Says" is a 2009 pop-rock single by John Mayer, known for its laid-back acoustic style and introspective lyrics about personal freedom and self-acceptance.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f471490081909036362c58e1e727 completed April 19, 2026, 3:27 p.m.
NEDg Description generation batch_69e4f95be4b08190bebb2078406cb7ba completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff6b7d248190b4dd885280e09a8e completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.