Triple
T28774411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taygetos mountain slopes |
E726494
|
entity |
| Predicate | highestPointOfRange |
P210
|
FINISHED |
| Object | Mount Taygetos summit area |
—
|
NE NERFINISHED |
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: Mount Taygetos summit area | Statement: [Taygetos mountain slopes, highestPointOfRange, Mount Taygetos summit area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPointOfRange Context triple: [Taygetos mountain slopes, highestPointOfRange, Mount Taygetos summit area]
-
A.
isHighestRangeOf
Indicates that one entity represents the maximum or topmost range or interval within which another entity falls or is categorized.
-
B.
highestPoint
chosen
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
elevationRangeUpperBound
Indicates the maximum elevation value that bounds the upper limit of an elevation range for something.
-
D.
maximumPinnacleHeight
Indicates the greatest vertical height reached at the highest point (pinnacle) of an object, structure, or formation.
-
E.
highestPassApproxElevation
Indicates the approximate elevation of the highest pass along a given route or within a specified area.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 6:17 a.m.