Triple

T20963602
Position Surface form Disambiguated ID Type / Status
Subject Garsdale railway station E516310 entity
Predicate stationCode P1289 FINISHED
Object GAR
GAR is the National Rail station code for Garsdale railway station in Cumbria, England.
E1459844 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: GAR | Statement: [Garsdale railway station, stationCode, GAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAR
Context triple: [Garsdale railway station, stationCode, GAR]
  • A. GAR
    GAR is the Spanish Civil Guard’s elite Rapid Action Group, a specialized unit focused on counterterrorism and high-risk operations.
  • B. GARD
    GARD is a U.S. government-supported information center that provides reliable, patient-friendly resources on genetic and rare diseases.
  • C. GAR-1
    GAR-1 is the original U.S. military designation for the AIM-4 Falcon, an early guided air-to-air missile used primarily by the U.S. Air Force during the Cold War.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. GAR-2
    GAR-2 is the original military designation for the AIM-4 Falcon, an early American air-to-air guided missile used primarily by the U.S. Air Force during the Cold War.
  • 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: GAR
Triple: [Garsdale railway station, stationCode, GAR]
Generated description
GAR is the National Rail station code for Garsdale railway station in Cumbria, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GAR
Target entity description: GAR is the National Rail station code for Garsdale railway station in Cumbria, England.
  • A. GAR
    GAR is the Spanish Civil Guard’s elite Rapid Action Group, a specialized unit focused on counterterrorism and high-risk operations.
  • B. GARD
    GARD is a U.S. government-supported information center that provides reliable, patient-friendly resources on genetic and rare diseases.
  • C. GAR-1
    GAR-1 is the original U.S. military designation for the AIM-4 Falcon, an early guided air-to-air missile used primarily by the U.S. Air Force during the Cold War.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. GAR-2
    GAR-2 is the original military designation for the AIM-4 Falcon, an early American air-to-air guided missile used primarily by the U.S. Air Force during the Cold War.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb710d6c8190a2daacaad3b22683 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09279a50bc8190a2ac4bda770fe6fa completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0928b4be448190bd862c8f971e61d9 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929734a5c8190911e54b601118bae completed May 17, 2026, 2:35 a.m.
Created at: April 16, 2026, 1:32 p.m.