Triple
T36498205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poiana Brașov |
E899250
|
entity |
| Predicate | highestSkiPointAltitude |
P75294
|
FINISHED |
| Object | approximately 1799 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 1799 m | Statement: [Poiana Brașov, highestSkiPointAltitude, approximately 1799 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestSkiPointAltitude Context triple: [Poiana Brașov, highestSkiPointAltitude, approximately 1799 m]
-
A.
skiAreaElevationMax
chosen
Indicates the maximum elevation, typically in meters or feet, reached within a ski area.
-
B.
highestCampAltitudeMetres
Indicates the maximum altitude in meters reached by any camp associated with the entity.
-
C.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
D.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
E.
pilgrimageAltitudeHighPoint
Indicates the highest altitude reached along a pilgrimage route or during a pilgrimage journey.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 3, 2026, 4:10 p.m.