Triple
T33431013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Weddigen |
E856129
|
entity |
| Predicate | numberOfCruisersSunkOn22September1914 |
P204083
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Otto Weddigen, numberOfCruisersSunkOn22September1914, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCruisersSunkOn22September1914 Context triple: [Otto Weddigen, numberOfCruisersSunkOn22September1914, 3]
-
A.
battleshipsDamaged
Indicates that one or more battleships have sustained damage, typically as a result of combat or hostile action.
-
B.
RMS SegwunStatus
Indicates the operational or contextual status associated with the RMS Segwun at a given time or in a given situation.
-
C.
AdmiralGrafSpeeLaidUpAt
Indicates that the ship Admiral Graf Spee was laid up, moored, or taken out of active service at a specific location.
-
D.
wasSunkAs
Indicates that an entity met its end by being sunk in a specified role, context, or capacity.
-
E.
fleetScuttledAt
Indicates that a fleet was deliberately sunk or destroyed at a specific location or during a specific event.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a031b40c6d0819096f4b9787a1f09d1 |
completed | May 12, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_6a03191f8ee08190b3416b044869ddfd |
completed | May 12, 2026, 12:12 p.m. |
| PDg | Predicate description generation | batch_6a031b401e7c8190b9d413e2bc3d3fec |
completed | May 12, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:36 a.m.