Triple
T18551002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EPA Office of Water |
E453378
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | OW |
—
|
NE NERFINISHED |
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: OW | Statement: [EPA Office of Water, shortName, OW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OW Context triple: [EPA Office of Water, shortName, OW]
-
A.
OW
chosen
OW is the official vehicle registration code used on license plates for the Swiss canton of Obwalden.
-
B.
WO
WO is the abbreviation for the Welsh Office, a former UK government department responsible for Welsh affairs.
-
C.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
D.
W
W is a British pay television channel known for airing entertainment, lifestyle, and reality programming, including original UKTV productions and imported series.
-
E.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53800c0fc819097782f1e81574598 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:38 a.m.