Triple
T3935510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanishburg, West Virginia |
E90899
|
entity |
| Predicate | geographicalNature |
P52634
|
FINISHED |
| Object | populated place |
—
|
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: populated place | Statement: [Spanishburg, West Virginia, geographicalNature, populated place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalNature Context triple: [Spanishburg, West Virginia, geographicalNature, populated place]
-
A.
geologicalFormation
Indicates that one entity is a geological structure or feature that characterizes or composes the physical makeup of another entity.
-
B.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
C.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
D.
geographicalPractice
Indicates a relationship where an entity engages in or is associated with a practice, activity, or method that is specific to or characteristic of a particular geographic area or location.
-
E.
geographicalExtreme
Indicates that one place represents an extreme (such as the northernmost, highest, deepest, etc.) within a specified geographic or administrative area.
- F. None of above. chosen
Provenance (4 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcd29148190a98e4549c9ed8888 |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:23 p.m.