Triple
T10170640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sioux Falls metropolitan area |
E235321
|
entity |
| Predicate | containsCommunity |
P8617
|
FINISHED |
| Object | Tea |
E770687
|
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: Tea | Statement: [Sioux Falls metropolitan area, containsCommunity, Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tea Context triple: [Sioux Falls metropolitan area, containsCommunity, Tea]
-
A.
Tea
chosen
Tea is a widely consumed beverage made by steeping processed leaves of the Camellia sinensis plant in hot water, known for its variety of flavors, caffeine content, and cultural significance worldwide.
-
B.
Chai
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
C.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
D.
Green Tea
"Green Tea" is a gothic short story by Sheridan Le Fanu that follows a clergyman haunted by a demonic monkey, exploring themes of madness, the supernatural, and psychological terror.
-
E.
TEA
TEA is the state government agency responsible for overseeing public primary and secondary education in Texas.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9d36608190be78665cc3410cf2 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300f7aafc8190be874efc755bd188 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.