Triple
T27680309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Falls |
E697889
|
entity |
| Predicate | featureNear |
P2064
|
FINISHED |
| Object | Tower Junction area of Yellowstone |
—
|
NE NERFINISHED |
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: Tower Junction area of Yellowstone | Statement: [Tower Falls, featureNear, Tower Junction area of Yellowstone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureNear Context triple: [Tower Falls, featureNear, Tower Junction area of Yellowstone]
-
A.
nearbyFeature
chosen
Indicates that one entity is located close to or in the immediate vicinity of another entity.
-
B.
featuresLocation
Indicates that something is characterized by or includes a specific location as one of its notable attributes.
-
C.
featuresRegionalProximity
Indicates that one entity is located near or in close geographic proximity to a particular region or another entity.
-
D.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
E.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 27, 2026, 2:46 p.m.