Triple

T10128368
Position Surface form Disambiguated ID Type / Status
Subject Ramsgate railway station E226272 entity
Predicate hasStationCode P1289 FINISHED
Object RAM
RAM is the National Rail station code for Ramsgate railway station in Kent, England.
 E841711 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: RAM | Statement: [Ramsgate railway station, hasStationCode, RAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RAM
Context triple: [Ramsgate railway station, hasStationCode, RAM]
  • A. RAM
    RAM is the ICAO airline designator used to identify Royal Air Maroc in international aviation operations and communications.
  • B. RAM
    RAM is the official institution responsible for producing Australia's circulating and collectible coins.
  • C. DRAM
    DRAM (Dynamic Random-Access Memory) is a type of volatile semiconductor memory widely used as the main system memory in computers and other digital devices due to its high density and relatively low cost.
  • D. DRAM
    DRAM is an American rapper and singer known for his eclectic blend of hip hop, R&B, and soul, highlighted by his hit single "Broccoli."
  • E. C-RAM
    C-RAM (Counter-Rocket, Artillery, and Mortar) is a defensive weapons system designed to detect, track, and intercept incoming indirect fire such as rockets, artillery shells, and mortar rounds to protect troops and critical assets.
  • 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: RAM
Triple: [Ramsgate railway station, hasStationCode, RAM]
Generated description
RAM is the National Rail station code for Ramsgate railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RAM
Target entity description: RAM is the National Rail station code for Ramsgate railway station in Kent, England.
  • A. RAM
    RAM is the ICAO airline designator used to identify Royal Air Maroc in international aviation operations and communications.
  • B. RAM
    RAM is the official institution responsible for producing Australia's circulating and collectible coins.
  • C. DRAM
    DRAM (Dynamic Random-Access Memory) is a type of volatile semiconductor memory widely used as the main system memory in computers and other digital devices due to its high density and relatively low cost.
  • D. DRAM
    DRAM is an American rapper and singer known for his eclectic blend of hip hop, R&B, and soul, highlighted by his hit single "Broccoli."
  • E. C-RAM
    C-RAM (Counter-Rocket, Artillery, and Mortar) is a defensive weapons system designed to detect, track, and intercept incoming indirect fire such as rockets, artillery shells, and mortar rounds to protect troops and critical assets.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2f0a0e881909267a83fbeb31f0c completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc72848481909dcbfc9fe3f6d379 completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cda6452c81908d67ea322da3cf70 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce71fa888190b8dd13df83a2cd78 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:05 p.m.