Triple
T25103414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor, New York |
E628796
|
entity |
| Predicate | nearbyWaterRegion |
P49291
|
FINISHED |
| Object | Finger Lakes |
—
|
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: Finger Lakes | Statement: [Victor, New York, nearbyWaterRegion, Finger Lakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyWaterRegion Context triple: [Victor, New York, nearbyWaterRegion, Finger Lakes]
-
A.
hasNearbyWater
chosen
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
B.
connectsToBodyOfWaterRegion
Indicates that a region has a direct physical connection or boundary with a body of water.
-
C.
nearbyWatercourse
Indicates that one entity is located close to or alongside a natural or artificial watercourse, such as a river, stream, or canal.
-
D.
lakeTypeNearby
Indicates that one entity is located near another entity that is classified as a particular type of lake.
-
E.
nearestLargeBodyOfWater
Indicates the closest significant body of water in proximity to a given location or entity.
- F. None of above.
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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 6:26 a.m.