Triple
T30812622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galician Massif |
E784686
|
entity |
| Predicate | highestPointsLocatedIn |
P128765
|
FINISHED |
| Object | Galician highlands |
—
|
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: Galician highlands | Statement: [Galician Massif, highestPointsLocatedIn, Galician highlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPointsLocatedIn Context triple: [Galician Massif, highestPointsLocatedIn, Galician highlands]
-
A.
highPointLocatedOn
Indicates that the highest point of one entity is situated on or atop another entity.
-
B.
containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
C.
highestPeaksLocatedIn
chosen
Indicates that the specified highest mountain peaks are geographically situated within the given location or region.
-
D.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
E.
highestPointRegion
Indicates that one location is the highest point within a specified region.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 29, 2026, 8:43 p.m.