Triple
T17826015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Pacific theatre of World War II |
E445119
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | SWPA |
—
|
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: SWPA | Statement: [Southwest Pacific theatre of World War II, alsoKnownAs, SWPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWPA Context triple: [Southwest Pacific theatre of World War II, alsoKnownAs, SWPA]
-
A.
SWPA
chosen
SWPA is a U.S. federal agency that markets and transmits hydroelectric power generated at federally owned dams in the southwestern region of the country.
-
B.
SPWA
SPWA is the commonly used acronym for Sony Pictures Worldwide Acquisitions, a division of Sony Pictures that specializes in acquiring and producing films for global distribution.
-
C.
SWV
SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
-
D.
SWV
SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
-
E.
SWP
SWP is the commonly used acronym for California’s State Water Project, a massive water storage and delivery system supplying water to millions of residents and vast agricultural areas.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914226c819083edcc78e00b2d42 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.