Triple
T10851699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pingualuit Crater |
E256160
|
entity |
| Predicate | lakeDepth |
P35925
|
FINISHED |
| Object | about 267 metres |
—
|
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: about 267 metres | Statement: [Pingualuit Crater, lakeDepth, about 267 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeDepth Context triple: [Pingualuit Crater, lakeDepth, about 267 metres]
-
A.
lakeMaximumDepth
chosen
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
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.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
D.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
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.
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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75117b76c8190b0fb216b1428c3c7 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.