Triple
T13330503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Spiegel Grove |
E317559
|
entity |
| Predicate | purposeOfSinking |
P36198
|
FINISHED |
| Object | artificial reef creation |
—
|
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: artificial reef creation | Statement: [USS Spiegel Grove, purposeOfSinking, artificial reef creation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purposeOfSinking Context triple: [USS Spiegel Grove, purposeOfSinking, artificial reef creation]
-
A.
reasonForSinking
Indicates the cause or circumstance that led to something sinking.
-
B.
purposeOfDestruction
chosen
Indicates that something is destroyed with the specific aim or intention of achieving a particular goal or outcome.
-
C.
missionAtTimeOfSinking
Indicates that a vessel was engaged in a specific mission or operational role at the time it sank.
-
D.
placeOfSinking
Indicates the location where an object or entity sank or was submerged.
-
E.
sunkBy
Indicates that one entity (typically a vessel or structure) was caused to sink or be destroyed in water by another 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.