Triple
T19095910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tupahue station |
E467403
|
entity |
| Predicate | positionOnSlope |
P83773
|
FINISHED |
| Object | mid-slope |
—
|
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: mid-slope | Statement: [Tupahue station, positionOnSlope, mid-slope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnSlope Context triple: [Tupahue station, positionOnSlope, mid-slope]
-
A.
isOnSlopeOf
chosen
Indicates that one entity is located on the inclined surface or side of another entity, typically a sloping terrain or structure.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionRelativeToSummit
Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
-
D.
positionOnPillar
Indicates that one entity is located on top of or supported by a pillar.
-
E.
positionOnGood
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.