Triple
T25738189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabun Bald |
E648133
|
entity |
| Predicate | rankingInGeorgiaByElevation |
P167057
|
FINISHED |
| Object | second-highest peak in Georgia |
—
|
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: second-highest peak in Georgia | Statement: [Rabun Bald, rankingInGeorgiaByElevation, second-highest peak in Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingInGeorgiaByElevation Context triple: [Rabun Bald, rankingInGeorgiaByElevation, second-highest peak in Georgia]
-
A.
relativeElevationInGreece
Indicates the relative height or altitude difference between locations within Greece.
-
B.
mountainElevationContext
Indicates the contextual relationship between a mountain and its elevation, such as how high it is relative to surrounding terrain or reference points.
-
C.
mountainHeight
Indicates the vertical elevation or height of a mountain, typically measured from sea level.
-
D.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
-
E.
regionRankByHeight
Indicates the relative ordering of regions based on their height or elevation.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 22, 2026, 3:37 a.m.