Triple
T19429238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patala |
E486065
|
entity |
| Predicate | hasLevel |
P2393
|
FINISHED |
| Object | Atala |
—
|
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: Atala | Statement: [Patala, hasLevel, Atala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atala Context triple: [Patala, hasLevel, Atala]
-
A.
Atala
chosen
Atala is a romantic novella by François-René de Chateaubriand that helped inaugurate French Romanticism through its exotic American setting and themes of passion, religion, and tragic love.
-
B.
Duval
Duval is a surname of French origin borne by various notable individuals, including American territorial governor William Pope Duval.
-
C.
Palmetto
Palmetto is a long-distance Amtrak passenger train service operating along the U.S. East Coast between New York City and Savannah, Georgia.
-
D.
Palmetto
Palmetto is the common name for Florida State Road 826, a major expressway forming part of the beltway around Miami.
-
E.
Tocobaga
The Tocobaga were a Native American people who inhabited the Tampa Bay region of Florida prior to European contact.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321b78d08190b86cef7c60cbb61c |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.