Triple
T36219842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunn’s Falls |
E1047814
|
entity |
| Predicate | gristMillType |
P184779
|
FINISHED |
| Object | water-powered grist mill |
—
|
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: water-powered grist mill | Statement: [Dunn’s Falls, gristMillType, water-powered grist mill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gristMillType Context triple: [Dunn’s Falls, gristMillType, water-powered grist mill]
-
A.
grindType
Indicates the specific way or degree to which something is ground or milled, such as the fineness or style of grinding applied.
-
B.
windmillType
Indicates that one entity is classified as a specific type or category of windmill in relation to another entity.
-
C.
granaryType
Indicates the specific kind or category of granary associated with or used by an entity.
-
D.
hasWindmill
Indicates that one entity possesses, contains, or features a windmill as part of it or on its premises.
-
E.
hasGrainType
Indicates that an entity is characterized by or associated with a specific type of grain.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5f89c5c8190825ed5d4317c540c |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b57aa0848190a22c31c3ff90e0ab |
completed | May 3, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:09 p.m.