Triple
T17407118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post Oak Savannah ecoregion |
E423244
|
entity |
| Predicate | hasCharacteristicTopography |
P53384
|
FINISHED |
| Object | gently rolling hills |
—
|
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: gently rolling hills | Statement: [Post Oak Savannah ecoregion, hasCharacteristicTopography, gently rolling hills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacteristicTopography Context triple: [Post Oak Savannah ecoregion, hasCharacteristicTopography, gently rolling hills]
-
A.
hasTopographicContext
chosen
Indicates that one entity is related to or characterized by a particular topographic or physical landscape context.
-
B.
hasTopElevation
Indicates that an entity has a specified maximum or highest elevation value.
-
C.
hasAltitudeFeature
Indicates that an entity possesses a characteristic or attribute related to its elevation or vertical position above a reference level.
-
D.
hasSurfaceFeatureState
Indicates that an entity currently exhibits a particular condition or status of one of its surface features.
-
E.
topographyBasedOn
Indicates that the topographical characteristics of one entity are derived from, determined by, or modeled using the topography of 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b081ae08190b144e333a3a74b02 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.