Triple
T7624510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey River (Bow, New Hampshire) |
E172591
|
entity |
| Predicate | helpsDefineLandscapeOf |
P43944
|
FINISHED |
| Object | Bow, New Hampshire |
—
|
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: Bow, New Hampshire | Statement: [Turkey River (Bow, New Hampshire), helpsDefineLandscapeOf, Bow, New Hampshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsDefineLandscapeOf Context triple: [Turkey River (Bow, New Hampshire), helpsDefineLandscapeOf, Bow, New Hampshire]
-
A.
landscapeRole
chosen
Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
-
B.
definesAimsOf
Indicates that one entity specifies or establishes the goals, purposes, or intended outcomes of another entity.
-
C.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
D.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
E.
worldDefinitionInContext
Indicates that a particular definition of a term or concept is specified as it applies within a given context or situation.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.