Triple
T20407149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auburn |
E500497
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Knightsville |
—
|
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: Knightsville | Statement: [Auburn, adjacentTo, Knightsville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knightsville Context triple: [Auburn, adjacentTo, Knightsville]
-
A.
Knightsville
chosen
Knightsville is a historic Italian-American neighborhood in the city of Cranston, Rhode Island, known for its strong community identity and cultural traditions.
-
B.
Daybreakers
Daybreakers is a 2009 science fiction horror film set in a dystopian future where vampires dominate the world and struggle with a dwindling human blood supply.
-
C.
Brightburn
Brightburn is a 2019 horror-superhero film that reimagines the Superman origin story as a dark tale about a young boy with alien powers who becomes a malevolent force.
-
D.
30 Days of Night
30 Days of Night is a 2007 horror film about a remote Alaskan town besieged by vampires during a month-long polar night.
-
E.
R.I.P.D.
R.I.P.D. is a 2013 supernatural action-comedy film about a deceased cop who joins a ghostly police force to protect the living from rogue spirits.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67993dc7081908ebd54ec92e712ea |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.