Triple
T14486501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WiN |
E359240
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | WiN |
E359240
|
NE FINISHED |
How this triple was built (2 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: WiN | Statement: [WiN, hasAbbreviation, WiN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WiN Context triple: [WiN, hasAbbreviation, WiN]
-
A.
WiN
chosen
WiN was a Polish anti-communist underground organization formed after World War II to resist Soviet domination and the communist regime in Poland.
-
B.
WINS
WINS is a New York City all-news AM radio station known for its continuous news coverage and the slogan "You give us 22 minutes, we'll give you the world."
-
C.
WON
WON is the ICAO airline designator assigned to Wings Air, an Indonesian regional carrier.
-
D.
WIN
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
-
E.
WIN
WIN is the National Rail station code for Winchester railway station in Hampshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a925148190992101984895a20b |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.