Triple
T23988113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russo |
E604990
|
entity |
| Predicate | isTopographicOrDescriptive |
P53384
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Russo, isTopographicOrDescriptive, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTopographicOrDescriptive Context triple: [Russo, isTopographicOrDescriptive, true]
-
A.
hasTopographicContext
chosen
Indicates that one entity is related to or characterized by a particular topographic or physical landscape context.
-
B.
hasTopographicEffect
Indicates that one entity causes or contributes to a change or influence on the physical terrain or topography of another entity or area.
-
C.
topographicalForm
Indicates the specific physical shape or configuration of the Earth's surface associated with an entity (such as whether it is a mountain, valley, plateau, etc.).
-
D.
topographicalCategory
Indicates the type of landform or surface feature that characterizes the physical terrain associated with an entity.
-
E.
isToponymic
Indicates that something is related to or derived from a place name (a toponym).
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38902fc8190af51cedfce1c6c13 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:36 p.m.