Triple
T3668027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rongai Route |
E77808
|
entity |
| Predicate | hasStartingElevationApprox |
P15473
|
FINISHED |
| Object | 2000 metres |
—
|
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: 2000 metres | Statement: [Rongai Route, hasStartingElevationApprox, 2000 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStartingElevationApprox Context triple: [Rongai Route, hasStartingElevationApprox, 2000 metres]
-
A.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
B.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
C.
hasTopElevation
Indicates that an entity has a specified maximum or highest elevation value.
-
D.
hasAverageElevation
Indicates that an entity is characterized by a specific mean height above a defined reference level, typically sea level.
-
E.
elevationAtBase
chosen
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.