Triple
T3000798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry DeWolf-class offshore patrol vessel |
E81180
|
entity |
| Predicate | additionalBerths |
P27883
|
FINISHED |
| Object | for about 20–40 mission personnel |
—
|
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: for about 20–40 mission personnel | Statement: [Harry DeWolf-class offshore patrol vessel, additionalBerths, for about 20–40 mission personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: additionalBerths Context triple: [Harry DeWolf-class offshore patrol vessel, additionalBerths, for about 20–40 mission personnel]
-
A.
hasBerths
chosen
Indicates that one entity provides or contains sleeping or docking berths for another entity.
-
B.
wildCardBerthsCount
Indicates the number of wildcard berths (extra or non-standard qualification spots) allocated in a competition or selection process.
-
C.
wildCardBerth
Indicates that an entity receives a berth or qualification through a wildcard allocation rather than through standard qualification criteria.
-
D.
berthType
Indicates the specific kind or category of berth associated with an entity, such as the type of sleeping or docking space provided.
-
E.
earnedBerthIn
Indicates that one entity has qualified for or secured a place in a particular event, competition, or stage as a result of its performance or achievement.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1022e48190afee77db94635ff2 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.