Triple
T2495320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malam Jabba |
E52140
|
entity |
| Predicate | approxElevation |
P221
|
FINISHED |
| Object | about 2800 meters above sea level |
—
|
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: about 2800 meters above sea level | Statement: [Malam Jabba, approxElevation, about 2800 meters above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxElevation Context triple: [Malam Jabba, approxElevation, about 2800 meters above sea level]
-
A.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
B.
elevationFrom
Indicates a vertical distance relationship where one entity’s height or altitude is measured relative to another reference entity.
-
C.
elevation
chosen
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
D.
elevationAccuracy
Indicates the degree of precision or reliability associated with a measured or reported elevation value in the relationship.
-
E.
areaPeakApprox
Indicates an approximate measurement or estimation of the peak area associated with an entity or event.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd19541048190b9e39db119c20fe8 |
completed | March 7, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.