Triple

T22949676
Position Surface form Disambiguated ID Type / Status
Subject Blackwater railway station E569977 entity
Predicate hasStationCode P1289 FINISHED
Object BAW
BAW is the National Rail station code for Blackwater railway station in Hampshire, England.
 E1563434 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: BAW | Statement: [Blackwater railway station, hasStationCode, BAW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAW
Context triple: [Blackwater railway station, hasStationCode, BAW]
  • A. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • B. bawu
    The bawu is a Chinese free-reed wind instrument, similar to a flute or clarinet, known for its mellow, expressive tone and use in traditional folk music, especially among ethnic groups in southwest China.
  • C. BAU
    BAU is the Indian Railways station code for Burhanpur railway station in Madhya Pradesh, India.
  • D. BBAW
    BBAW is the abbreviation for the Berlin-Brandenburg Academy of Sciences and Humanities, a major scholarly society based in Berlin that promotes interdisciplinary research and academic exchange.
  • E. BAV
    BAV is the abbreviated name of Germany’s former Federal Insurance Supervisory Office, the authority that oversaw and regulated the national insurance sector.
  • 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: BAW
Triple: [Blackwater railway station, hasStationCode, BAW]
Generated description
BAW is the National Rail station code for Blackwater railway station in Hampshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAW
Target entity description: BAW is the National Rail station code for Blackwater railway station in Hampshire, England.
  • A. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • B. bawu
    The bawu is a Chinese free-reed wind instrument, similar to a flute or clarinet, known for its mellow, expressive tone and use in traditional folk music, especially among ethnic groups in southwest China.
  • C. BAU
    BAU is the Indian Railways station code for Burhanpur railway station in Madhya Pradesh, India.
  • D. BBAW
    BBAW is the abbreviation for the Berlin-Brandenburg Academy of Sciences and Humanities, a major scholarly society based in Berlin that promotes interdisciplinary research and academic exchange.
  • E. BAV
    BAV is the abbreviated name of Germany’s former Federal Insurance Supervisory Office, the authority that oversaw and regulated the national insurance sector.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a085188190b06ffa227087302d completed April 29, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca161ddc8190923967d024e894ba completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaebed688190b2ea74c588922d98 completed May 19, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbec354081909dbeeb389e86d38c completed May 19, 2026, 2:33 a.m.
Created at: April 17, 2026, 3:46 p.m.