Triple
T1729951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corn Hill Beach |
E37586
|
entity |
| Predicate | sandType |
P1242
|
FINISHED |
| Object | sandy beach with some pebbles and shells |
—
|
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: sandy beach with some pebbles and shells | Statement: [Corn Hill Beach, sandType, sandy beach with some pebbles and shells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sandType Context triple: [Corn Hill Beach, sandType, sandy beach with some pebbles and shells]
-
A.
hasSandColor
Indicates that one entity possesses or exhibits the sand-like color of another entity or color value.
-
B.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
C.
typeOfSedimentation
Indicates the specific kind or process of sediment deposition or settling that characterizes how sediment accumulates in a given context.
-
D.
saltMineType
Indicates the specific kind or classification of a salt mine associated with an entity.
-
E.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.