Triple
T26522461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montevideo Maru |
E669993
|
entity |
| Predicate | wreckDepthApproximate |
P38776
|
FINISHED |
| Object | over 4000 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: over 4000 metres | Statement: [Montevideo Maru, wreckDepthApproximate, over 4000 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wreckDepthApproximate Context triple: [Montevideo Maru, wreckDepthApproximate, over 4000 metres]
-
A.
wreckDepth
chosen
Indicates the depth at which a wreck is located below the water surface.
-
B.
containsWreck
Indicates that one entity includes or holds within it the remains or wreckage of another entity.
-
C.
wreckStatus
Indicates the condition or state of damage of an object, typically describing whether and how badly it has been wrecked.
-
D.
wreckSalvaged
Indicates that a previously wrecked object or structure has been recovered or salvaged from its damaged or sunken state.
-
E.
wreckSurveyedBy
Indicates that a particular wreck has been examined, measured, or documented by a specified surveying party or method.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613c35b5481909ef85d87d1604be9 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:29 a.m.