Triple
T47284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meriwether County |
E926
|
entity |
| Predicate | hasGNISID |
P158
|
FINISHED |
| Object | 00360140 |
—
|
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: 00360140 | Statement: [Meriwether County, hasGNISID, 00360140]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGNISID Context triple: [Meriwether County, hasGNISID, 00360140]
-
A.
GNISID
Indicates that an entity is associated with a specific identifier from the U.S. Geographic Names Information System (GNIS), uniquely linking it to an official geographic feature record.
-
B.
GNISFeatureID
chosen
Indicates that an entity is associated with a specific identifier assigned by the U.S. Geological Survey’s Geographic Names Information System (GNIS) to uniquely reference a geographic feature.
-
C.
geographicCenter
Indicates the location that serves as the central point of a geographic area or region.
-
D.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
E.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b1bf2c081908f20e13939b713ff |
completed | Feb. 28, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69a24abd07508190a83ffba5368c1c79 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.