Triple
T29767290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suezmax |
E753949
|
entity |
| Predicate | maximumDeadweightTonnage |
P19646
|
FINISHED |
| Object | approximately 120000 to 200000 DWT |
—
|
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 120000 to 200000 DWT | Statement: [Suezmax, maximumDeadweightTonnage, approximately 120000 to 200000 DWT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDeadweightTonnage Context triple: [Suezmax, maximumDeadweightTonnage, approximately 120000 to 200000 DWT]
-
A.
maxVesselTonnage
Indicates the maximum tonnage capacity that a vessel is allowed or designed to carry.
-
B.
deadweightTonnage
chosen
Indicates the total carrying capacity of a vessel, measured as the maximum weight of cargo, fuel, passengers, provisions, and other loads it can safely transport.
-
C.
maximumTonnageLimitedBy
Indicates that the maximum allowable tonnage of one entity is constrained or capped by the capacity or limit specified by another entity.
-
D.
maximumTakeoffWeight
Indicates the greatest allowable weight an aircraft can have at the start of its takeoff roll under specified conditions.
-
E.
maximumShipBeam
Indicates the greatest allowable or observed width of a ship across its widest point.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 28, 2026, 8:39 p.m.