Triple
T22954138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salagdoong Beach |
E570105
|
entity |
| Predicate | hasWaterDepthVariation |
P150368
|
FINISHED |
| Object | shallow near shore and deeper near cliffs |
—
|
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 near shore and deeper near cliffs | Statement: [Salagdoong Beach, hasWaterDepthVariation, shallow near shore and deeper near cliffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterDepthVariation Context triple: [Salagdoong Beach, hasWaterDepthVariation, shallow near shore and deeper near cliffs]
-
A.
hasWaterDepthCategory
Indicates the classification of something based on the range or category of its water depth.
-
B.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
C.
hasWaterDepthAtExit
Indicates the water depth measured at the exit point of a structure, channel, or system.
-
D.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
E.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181ef7db4819093ab8117ed53c174 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:46 p.m.