Triple

T16432506
Position Surface form Disambiguated ID Type / Status
Subject Lewes railway station E399102 entity
Predicate stationCode P1289 FINISHED
Object LWS
LWS is the three-letter National Rail station code for Lewes railway station in East Sussex, England.
E1212889 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: LWS | Statement: [Lewes railway station, stationCode, LWS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LWS
Context triple: [Lewes railway station, stationCode, LWS]
  • A. LWS
    LWS is the IATA airport code for the regional airport serving Lewiston, Idaho.
  • B. LWS
    LWS is the scene file format used by the LightWave 3D software to store information about objects, animation, cameras, and lights in a 3D project.
  • C. LWP
    LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
  • D. LLWS
    LLWS is the Little League World Series, an annual international youth baseball tournament featuring teams of 10- to 12-year-olds competing for the world championship.
  • E. LSW
    LSW is the station code for Lisarow railway station on the Main Northern line in New South Wales, Australia.
  • 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: LWS
Triple: [Lewes railway station, stationCode, LWS]
Generated description
LWS is the three-letter National Rail station code for Lewes railway station in East Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LWS
Target entity description: LWS is the three-letter National Rail station code for Lewes railway station in East Sussex, England.
  • A. LWS
    LWS is the IATA airport code for the regional airport serving Lewiston, Idaho.
  • B. LWS
    LWS is the scene file format used by the LightWave 3D software to store information about objects, animation, cameras, and lights in a 3D project.
  • C. LWP
    LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
  • D. LLWS
    LLWS is the Little League World Series, an annual international youth baseball tournament featuring teams of 10- to 12-year-olds competing for the world championship.
  • E. LSW
    LSW is the station code for Lisarow railway station on the Main Northern line in New South Wales, Australia.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32b9f2e8c81909c60b8fb78255e5f completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004584fa508190a85b1f79ecf9c258 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.