Triple
T18876883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Worthing railway station |
E461709
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
WWO
WWO is the National Rail station code for West Worthing railway station in West Sussex, England.
|
E1346766
|
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: WWO | Statement: [West Worthing railway station, stationCode, WWO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WWO Context triple: [West Worthing railway station, stationCode, WWO]
-
A.
WWA
WWA is the National Rail station code for Woolwich Arsenal railway station in southeast London.
-
B.
WWC
WWC is a U.S. Department of Education initiative that reviews and summarizes research evidence on educational programs, practices, and policies to inform educators and policymakers.
-
C.
WWFC
WWFC is the common abbreviation for Wycombe Wanderers Football Club, an English professional football team nicknamed "The Chairboys."
-
D.
WWE Universe
WWE Universe is the collective term for the global fanbase of World Wrestling Entertainment, encompassing its viewers, live audiences, and online community.
-
E.
WWE
WWE (World Wrestling Entertainment) is a global sports entertainment company best known for producing professional wrestling events, television programs, and media featuring larger-than-life wrestlers and storylines.
- 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: WWO Triple: [West Worthing railway station, stationCode, WWO]
Generated description
WWO is the National Rail station code for West Worthing railway station in West Sussex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WWO Target entity description: WWO is the National Rail station code for West Worthing railway station in West Sussex, England.
-
A.
WWA
WWA is the National Rail station code for Woolwich Arsenal railway station in southeast London.
-
B.
WWC
WWC is a U.S. Department of Education initiative that reviews and summarizes research evidence on educational programs, practices, and policies to inform educators and policymakers.
-
C.
WWFC
WWFC is the common abbreviation for Wycombe Wanderers Football Club, an English professional football team nicknamed "The Chairboys."
-
D.
WWE Universe
WWE Universe is the collective term for the global fanbase of World Wrestling Entertainment, encompassing its viewers, live audiences, and online community.
-
E.
WWE
WWE (World Wrestling Entertainment) is a global sports entertainment company best known for producing professional wrestling events, television programs, and media featuring larger-than-life wrestlers and storylines.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3cf0aa0819090991fc9e14910fb |
completed | April 20, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575c1c96c81908f37578b29455e82 |
completed | May 14, 2026, 7:12 a.m. |
| NEDg | Description generation | batch_6a0576af871481909ab3b9c90f9c1220 |
completed | May 14, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05777f51b481909a7916bc40dcfd69 |
completed | May 14, 2026, 7:19 a.m. |
Created at: April 10, 2026, 11:57 a.m.