Triple
T26411060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicily Channel Ridge |
E663959
|
entity |
| Predicate | minimumWaterDepth |
P162156
|
FINISHED |
| Object | less than 200 m on some banks |
—
|
LITERAL 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: less than 200 m on some banks | Statement: [Sicily Channel Ridge, minimumWaterDepth, less than 200 m on some banks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumWaterDepth Context triple: [Sicily Channel Ridge, minimumWaterDepth, less than 200 m on some banks]
-
A.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
B.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
C.
minimumWaterDepthAboveCrest
Indicates the smallest required depth of water that must be maintained above the crest level of a structure or feature.
-
D.
maximumDepthBelowSeaLevel
Indicates the greatest vertical distance an entity extends or reaches below sea level.
-
E.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
- F. None of above. chosen
Provenance (4 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 26, 2026, 11:38 p.m.