Triple
T35836367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Spiegel Grove |
E1035950
|
entity |
| Predicate | artificialReefLocation |
P184177
|
FINISHED |
| Object | off the coast of Key Largo, Florida |
—
|
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: off the coast of Key Largo, Florida | Statement: [USS Spiegel Grove, artificialReefLocation, off the coast of Key Largo, Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artificialReefLocation Context triple: [USS Spiegel Grove, artificialReefLocation, off the coast of Key Largo, Florida]
-
A.
isArtificialReefFor
Indicates that one entity functions as an artificial reef that provides habitat or structural support for another entity, typically marine life or an ecosystem.
-
B.
artificialReefSince
Indicates that an artificial reef has existed or been in place since a specified point in time.
-
C.
sankAsArtificialReef
Indicates that an entity was deliberately sunk for the purpose of serving as an artificial reef.
-
D.
oceanLocation
Indicates that one entity is geographically located in, on, or adjacent to a particular ocean.
-
E.
reefName
Indicates that a reef is identified by a specific name.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.