Triple
T9142411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julias |
E219361
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Gennesaret |
E12206
|
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 Gennesaret | Statement: [Julias, locatedNear, Lake Gennesaret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Gennesaret Context triple: [Julias, locatedNear, Lake Gennesaret]
-
A.
Sea of Galilee
chosen
The Sea of Galilee is a large freshwater lake in northeastern Israel, historically and religiously significant in Judaism and Christianity and a key site in the New Testament.
-
B.
Lake Pellaifa
Lake Pellaifa is a scenic Andean lake in southern Chile’s Los Ríos Region, known for its forested surroundings and proximity to the town of Panguipulli.
-
C.
Lake Assad
Lake Assad is Syria’s largest artificial lake, created on the Euphrates River to provide water storage, irrigation, and hydroelectric power.
-
D.
Lake Palestine
Lake Palestine is a large reservoir in East Texas popular for fishing, boating, and lakeside recreation.
-
E.
Lake Jordan
Lake Jordan is a man-made reservoir in central Alabama known for recreational boating, fishing, and lakeside residential communities.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f5f740819098236ada5b95889d |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0545584e08190bda111f2c6163a4a |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:19 p.m.