Triple

T6708060
Position Surface form Disambiguated ID Type / Status
Subject Warminster railway station E153057 entity
Predicate hasStationCode P1289 FINISHED
Object WMN
WMN is the National Rail station code for Warminster railway station in Wiltshire, England.
 E613735 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: WMN | Statement: [Warminster railway station, hasStationCode, WMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WMN
Context triple: [Warminster railway station, hasStationCode, WMN]
  • A. Women
    "Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
  • B. WICC
    WICC is the ICAO airport code for Husein Sastranegara International Airport in Bandung, Indonesia.
  • C. Women’s Commission
    The Women’s Commission is a ministry arm of the World Evangelical Alliance dedicated to empowering and advocating for women in the global evangelical church.
  • D. Mrs
    Mrs is a common English honorific used as a title for married women.
  • E. Women’s Union
    The Women’s Union is the women’s organization affiliated with the Christian Social Union in Bavaria, representing and promoting the political interests of women within the party.
  • 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: WMN
Triple: [Warminster railway station, hasStationCode, WMN]
Generated description
WMN is the National Rail station code for Warminster railway station in Wiltshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WMN
Target entity description: WMN is the National Rail station code for Warminster railway station in Wiltshire, England.
  • A. Women
    "Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
  • B. WICC
    WICC is the ICAO airport code for Husein Sastranegara International Airport in Bandung, Indonesia.
  • C. Women’s Commission
    The Women’s Commission is a ministry arm of the World Evangelical Alliance dedicated to empowering and advocating for women in the global evangelical church.
  • D. Mrs
    Mrs is a common English honorific used as a title for married women.
  • E. Women’s Union
    The Women’s Union is the women’s organization affiliated with the Christian Social Union in Bavaria, representing and promoting the political interests of women within the party.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1049b7c8190a970a165d15b440b completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7008e6b308190a3d5db2bf4a469c4 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c701be78cc8190a0848ea60908d129 completed March 27, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69c7021b27288190866aef500198479d completed March 27, 2026, 10:18 p.m.
Created at: March 27, 2026, 2:06 p.m.