Triple
T10858050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada Water station |
E256319
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ZCW
ZCW is the National Rail station code assigned to Canada Water station in London.
|
E888505
|
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: ZCW | Statement: [Canada Water station, hasStationCode, ZCW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZCW Context triple: [Canada Water station, hasStationCode, ZCW]
-
A.
ZCW
ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
-
B.
ZWZ
ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
-
C.
CZI
CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
-
D.
CZ-ZL
CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
-
E.
ZWD
ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
- 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: ZCW Triple: [Canada Water station, hasStationCode, ZCW]
Generated description
ZCW is the National Rail station code assigned to Canada Water station in London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZCW Target entity description: ZCW is the National Rail station code assigned to Canada Water station in London.
-
A.
ZCW
ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
-
B.
ZWZ
ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
-
C.
CZI
CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
-
D.
CZ-ZL
CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
-
E.
ZWD
ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751377da88190a7244bb9d6b0c2ec |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb1a0a9188190be0e9677884f3e93 |
completed | April 14, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69deb544eff88190b182e5d753b07df7 |
completed | April 14, 2026, 9:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb6973af481909b30489aaee94149 |
completed | April 14, 2026, 9:50 p.m. |
Created at: April 8, 2026, 9:20 p.m.