Triple
T7405681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Quebrada |
E170862
|
entity |
| Predicate | waterDepthAtJump |
P42757
|
FINISHED |
| Object | shallow at low tide |
—
|
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: shallow at low tide | Statement: [La Quebrada, waterDepthAtJump, shallow at low tide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterDepthAtJump Context triple: [La Quebrada, waterDepthAtJump, shallow at low tide]
-
A.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
B.
diveHeight
Indicates the vertical distance from which a dive is initiated or performed.
-
C.
hasWaterDepthCategory
chosen
Indicates the classification of something based on the range or category of its water depth.
-
D.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
E.
minimumWaterDepthAboveCrest
Indicates the smallest required depth of water that must be maintained above the crest level of a structure or feature.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f271f1d481909a46d50b13b51a62 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.