Triple
T103870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch West India Company |
E2098
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WIC
WIC is the common abbreviation for the Dutch West India Company, a 17th-century chartered trading company of the Dutch Republic involved in Atlantic trade, colonization, and privateering.
|
E10168
|
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: WIC | Statement: [Dutch West India Company, abbreviation, WIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WIC Context triple: [Dutch West India Company, abbreviation, WIC]
-
A.
WAS
WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
-
B.
WAS
WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
-
C.
WAS
WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
-
D.
WY
WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
-
E.
WAI
WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
- 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: WIC Triple: [Dutch West India Company, abbreviation, WIC]
Generated description
WIC is the common abbreviation for the Dutch West India Company, a 17th-century chartered trading company of the Dutch Republic involved in Atlantic trade, colonization, and privateering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WIC Target entity description: WIC is the common abbreviation for the Dutch West India Company, a 17th-century chartered trading company of the Dutch Republic involved in Atlantic trade, colonization, and privateering.
-
A.
WAS
WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
-
B.
WAS
WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
-
C.
WAS
WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
-
D.
WY
WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
-
E.
WAI
WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256aaed108190ba12e36364d30ede |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c1e3b688190ab90ecf5f2d55e50 |
completed | Feb. 28, 2026, 4:16 a.m. |
| NEDg | Description generation | batch_69a26e73039481908237b43ed0d7e5b7 |
completed | Feb. 28, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2748594b0819092da9977b209b5fd |
completed | Feb. 28, 2026, 4:52 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.