Triple
T14713908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ascrea |
E345625
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Turano |
E348524
|
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: Lake Turano | Statement: [Ascrea, locatedNear, Lake Turano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Turano Context triple: [Ascrea, locatedNear, Lake Turano]
-
A.
Lake Turano
chosen
Lake Turano is an artificial lake in the Lazio region of central Italy, known for its scenic mountain setting and medieval villages along its shores.
-
B.
Lake Koka
Lake Koka is a man-made reservoir in Ethiopia’s central Rift Valley, created by the Koka Dam on the Awash River and used for hydroelectric power, irrigation, and fishing.
-
C.
Lake Potanipo
Lake Potanipo is a small recreational lake in Brookline, New Hampshire, known for activities like boating, fishing, and swimming.
-
D.
Lake Tiorati
Lake Tiorati is a popular recreational lake in New York’s Harriman State Park, known for swimming, boating, fishing, and surrounding hiking trails.
-
E.
Donuzlav Lake
Donuzlav Lake is a large saltwater lagoon on the western coast of Crimea, notable for its deep natural harbor and connection to the Black Sea.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388792688190b1b6eaa8091733fb |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:29 a.m.