Triple
T35836370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Spiegel Grove |
E1035950
|
entity |
| Predicate | reefDepth |
P87151
|
FINISHED |
| Object | approximately 40 metres |
—
|
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: approximately 40 metres | Statement: [USS Spiegel Grove, reefDepth, approximately 40 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reefDepth Context triple: [USS Spiegel Grove, reefDepth, approximately 40 metres]
-
A.
reefType
Indicates the specific classification or category of reef associated with an entity.
-
B.
seaDepthRange
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
-
C.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
D.
lagoonDepth
Indicates the measured depth of a lagoon, typically expressed as a distance from the water surface to the bottom.
-
E.
depthBelowSurfaceInMeters
chosen
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.