Triple
T31823379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkland Plateau |
E812323
|
entity |
| Predicate | hasAverageWaterDepth |
P172637
|
FINISHED |
| Object | several hundred to a few thousand meters |
—
|
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: several hundred to a few thousand meters | Statement: [Falkland Plateau, hasAverageWaterDepth, several hundred to a few thousand meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageWaterDepth Context triple: [Falkland Plateau, hasAverageWaterDepth, several hundred to a few thousand meters]
-
A.
hasWaterDepthCategory
Indicates the classification of something based on the range or category of its water depth.
-
B.
hasWaterDepthVariation
Indicates that the water body or location exhibits differences in depth across its area or over time.
-
C.
minimumWaterDepth
Indicates the smallest water depth at which the related object, activity, or condition is valid, safe, or applicable.
-
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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b034bc74819091250f91ba5174c0 |
completed | May 3, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:46 p.m.