Triple
T14432995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackett Strait |
E357881
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | The Slot |
E1093982
|
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: The Slot | Statement: [Blackett Strait, partOf, The Slot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Slot Context triple: [Blackett Strait, partOf, The Slot]
-
A.
The Slot
chosen
The Slot is a narrow, strategically significant strait in the Solomon Islands that was a major naval battleground during World War II.
-
B.
The Jackpot
"The Jackpot" is a 1950 American comedy film starring James Stewart as a man whose life is upended after winning a radio quiz show’s massive prize haul.
-
C.
Jackpot
Jackpot is a small unincorporated casino and resort town in northeastern Nevada, known as a popular gambling destination near the Idaho border.
-
D.
Jackpot
Jackpot is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
-
E.
Jackpot
"Jackpot" is a darkly comedic Norwegian crime thriller film known for its twisty plot and violent, absurdist humor.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd3e6c48190b4fc3794202a0c3f |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.