Triple
T8760553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weesperplein |
E208185
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WSP
WSP is the station code for Weesperplein, a metro station in Amsterdam, Netherlands.
|
E754728
|
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: WSP | Statement: [Weesperplein, hasStationCode, WSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WSP Context triple: [Weesperplein, hasStationCode, WSP]
-
A.
WSP Global
WSP Global is a Canadian-based multinational professional services firm specializing in engineering, design, and consulting for infrastructure, environmental, building, and transportation projects worldwide.
-
B.
WSP Cantor Seinuk
WSP Cantor Seinuk is a prominent structural engineering firm known for designing high-rise and complex buildings worldwide.
-
C.
WTS
WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
-
D.
WTS
WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
-
E.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
- 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: WSP Triple: [Weesperplein, hasStationCode, WSP]
Generated description
WSP is the station code for Weesperplein, a metro station in Amsterdam, Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WSP Target entity description: WSP is the station code for Weesperplein, a metro station in Amsterdam, Netherlands.
-
A.
WSP Global
WSP Global is a Canadian-based multinational professional services firm specializing in engineering, design, and consulting for infrastructure, environmental, building, and transportation projects worldwide.
-
B.
WSP Cantor Seinuk
WSP Cantor Seinuk is a prominent structural engineering firm known for designing high-rise and complex buildings worldwide.
-
C.
WTS
WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
-
D.
WTS
WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
-
E.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5df9729481908679151988b76d2f |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf434bcac08190be07175a26804185 |
completed | April 3, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_69cf452b237c8190958f7b42e9611e7b |
completed | April 3, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf45e6f4108190ac6955264b466abb |
completed | April 3, 2026, 4:45 a.m. |
Created at: March 30, 2026, 6:40 p.m.