Triple
T2900073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erg Chigaga |
E62633
|
entity |
| Predicate | maximumDuneHeight |
P18516
|
FINISHED |
| Object | approximately 300 m |
—
|
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: approximately 300 m | Statement: [Erg Chigaga, maximumDuneHeight, approximately 300 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDuneHeight Context triple: [Erg Chigaga, maximumDuneHeight, approximately 300 m]
-
A.
highestPyramidHeight
Indicates the maximum vertical height reached by any pyramid in a given context or set.
-
B.
highestDunesReach
chosen
Indicates that the maximum height or extent of sand dunes reaches or attains a specified level, point, or location.
-
C.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
D.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
E.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b081308190af8875151fb11c4e |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:10 p.m.