Triple
T3910569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit Piton |
E87309
|
entity |
| Predicate | slopeCharacteristic |
P20528
|
FINISHED |
| Object | rises sharply from the sea |
—
|
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: rises sharply from the sea | Statement: [Petit Piton, slopeCharacteristic, rises sharply from the sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeCharacteristic Context triple: [Petit Piton, slopeCharacteristic, rises sharply from the sea]
-
A.
slopeType
chosen
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
B.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
C.
slopeUse
Indicates how a particular slope or gradient is utilized or purposed in relation to another entity.
-
D.
crestFeature
Indicates that an entity possesses a notable crest-related characteristic or structural feature.
-
E.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.