Triple

T8824925
Position Surface form Disambiguated ID Type / Status
Subject Ware railway station E209990 entity
Predicate hasStationCode P1289 FINISHED
Object WAR
WAR is the National Rail station code for Ware railway station in Hertfordshire, England.
 E760750 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: WAR | Statement: [Ware railway station, hasStationCode, WAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAR
Context triple: [Ware railway station, hasStationCode, WAR]
  • A. WAR
    WAR is the commonly used abbreviation for the Warrington Wolves, a professional rugby league club based in Warrington, England.
  • B. War
    "War" is a musical track from the film score of James Cameron's 2009 science fiction epic "Avatar," composed by James Horner.
  • C. War
    War is a small town in McDowell County, West Virginia, known as one of the southernmost communities in the state and for its history as a coal mining town.
  • D. War
    "War" is a nonfiction book by Sebastian Junger that chronicles the experiences of American soldiers in Afghanistan’s Korengal Valley, exploring the psychology, brotherhood, and brutality of modern combat.
  • E. War
    War is U2’s politically charged 1983 rock album known for its anthemic songs and focus on themes of conflict and social justice.
  • 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: WAR
Triple: [Ware railway station, hasStationCode, WAR]
Generated description
WAR is the National Rail station code for Ware railway station in Hertfordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAR
Target entity description: WAR is the National Rail station code for Ware railway station in Hertfordshire, England.
  • A. WAR
    WAR is the commonly used abbreviation for the Warrington Wolves, a professional rugby league club based in Warrington, England.
  • B. War
    "War" is a nonfiction book by Sebastian Junger that chronicles the experiences of American soldiers in Afghanistan’s Korengal Valley, exploring the psychology, brotherhood, and brutality of modern combat.
  • C. War
    War is a small town in McDowell County, West Virginia, known as one of the southernmost communities in the state and for its history as a coal mining town.
  • D. War
    "War" is a musical track from the film score of James Cameron's 2009 science fiction epic "Avatar," composed by James Horner.
  • E. War
    "War" is a politically charged reggae song by Bob Marley & The Wailers, best known for its lyrics adapted from a speech by Ethiopian Emperor Haile Selassie I calling for global peace and equality.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc603220508190b64e22dec3ee5ceb completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf894902588190adb60140c64561f6 completed April 3, 2026, 9:32 a.m.
NEDg Description generation batch_69cf8a8c87dc81909d5c0d769341b17c completed April 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b79a0b48190a29491f5f8f81217 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:46 p.m.