Triple
T4289913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake McKenzie |
E97362
|
entity |
| Predicate | sandProperty |
P18668
|
FINISHED |
| Object | very fine-grained |
—
|
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: very fine-grained | Statement: [Lake McKenzie, sandProperty, very fine-grained]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sandProperty Context triple: [Lake McKenzie, sandProperty, very fine-grained]
-
A.
hasSandColor
Indicates that one entity possesses or exhibits the sand-like color of another entity or color value.
-
B.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
C.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
D.
lakeProperty
Indicates that a property is located on, adjacent to, or otherwise directly associated with a lake.
-
E.
hasSedimentsThat
chosen
Indicates that one entity contains, includes, or is associated with specific sediments described by the related 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35061f5448190b3356b29a9129160 |
completed | March 12, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.