Triple
T17593859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehaven railway station |
E428514
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WTH
WTH is the National Rail station code for Whitehaven railway station in Cumbria, England.
|
E1277455
|
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: WTH | Statement: [Whitehaven railway station, hasStationCode, WTH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WTH Context triple: [Whitehaven railway station, hasStationCode, WTH]
-
A.
WTF
WTF is the Australian Securities Exchange (ASX) ticker symbol for Wotif Group, an online travel booking company.
-
B.
WTF
WTF is a 2016 satirical war comedy film starring Tina Fey as a journalist covering the war in Afghanistan.
-
C.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
-
D.
WUT WUT
WUT WUT is an electronic dance music album by American DJ and producer Dillon Francis, known for its Latin-influenced tracks and collaborations with various reggaeton and Latin artists.
-
E.
WOAH
WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
- 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: WTH Triple: [Whitehaven railway station, hasStationCode, WTH]
Generated description
WTH is the National Rail station code for Whitehaven railway station in Cumbria, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WTH Target entity description: WTH is the National Rail station code for Whitehaven railway station in Cumbria, England.
-
A.
WTF
WTF is the Australian Securities Exchange (ASX) ticker symbol for Wotif Group, an online travel booking company.
-
B.
WTF
WTF is a 2016 satirical war comedy film starring Tina Fey as a journalist covering the war in Afghanistan.
-
C.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
-
D.
WUT WUT
WUT WUT is an electronic dance music album by American DJ and producer Dillon Francis, known for its Latin-influenced tracks and collaborations with various reggaeton and Latin artists.
-
E.
WOAH
WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ea1ac8819083b8449ccdaf2445 |
completed | April 19, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e815be708190a91ae8e6fc3f75d3 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01e8fe86e08190a2d1492a55cbbce0 |
completed | May 11, 2026, 2:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e960d6888190981aa4db6df7c1cd |
completed | May 11, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:51 a.m.