Triple
T38451293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pine Island (Hernando County, Florida) |
E912179
|
entity |
| Predicate | hasShallowWater |
P42757
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pine Island (Hernando County, Florida), hasShallowWater, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShallowWater Context triple: [Pine Island (Hernando County, Florida), hasShallowWater, true]
-
A.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
B.
hasTurbulentWatersBelow
Indicates that something is positioned above an area of water characterized by turbulence or strong, disturbed motion below it.
-
C.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
D.
hasWaterDepthCategory
chosen
Indicates the classification of something based on the range or category of its water depth.
-
E.
hasShelteredWaters
Indicates that one location provides protected or calm waters for another location or activity, shielding it from rough or open conditions.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:31 p.m.