Triple
T22793650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormberg |
E564181
|
entity |
| Predicate | hasHighestPointApproxM |
P19320
|
FINISHED |
| Object | 2100 |
—
|
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: 2100 | Statement: [Stormberg, hasHighestPointApproxM, 2100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestPointApproxM Context triple: [Stormberg, hasHighestPointApproxM, 2100]
-
A.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
C.
hasHighestPointType
Indicates that the highest point of an entity is of a specified type or category.
-
D.
hasHighestPointAboveSeaLevel
Indicates that the highest point of one entity is located at a greater elevation above sea level than that of another entity.
-
E.
highestElevationApprox
chosen
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd751f081909c7907c96c9906ea |
completed | April 29, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:30 p.m.