Triple
T4474557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyandotte County |
E98574
|
entity |
| Predicate | hasCountyCode |
P10086
|
FINISHED |
| Object | WY |
E232036
|
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: WY | Statement: [Wyandotte County, hasCountyCode, WY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WY Context triple: [Wyandotte County, hasCountyCode, WY]
-
A.
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.
-
B.
WY
chosen
WY is the official two-letter United States Postal Service abbreviation for the state of Wyoming.
-
C.
YWG
YWG is the IATA airport code for Winnipeg James Armstrong Richardson International Airport, the primary commercial airport serving Winnipeg, Manitoba, Canada.
-
D.
YN
YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
-
E.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356bb03f48190a2addcd49c9e470d |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6287f076081909bca3643ac489fcf |
completed | March 15, 2026, 3:33 a.m. |
Created at: March 12, 2026, 11:35 p.m.