Triple
T29767334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aframax |
E753950
|
entity |
| Predicate | hasTypicalDeadweightTonnageRange |
P19646
|
FINISHED |
| Object | 80000–120000 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: 80000–120000 DWT | Statement: [Aframax, hasTypicalDeadweightTonnageRange, 80000–120000 DWT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalDeadweightTonnageRange Context triple: [Aframax, hasTypicalDeadweightTonnageRange, 80000–120000 DWT]
-
A.
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.
-
B.
estimatedMassInTonnes
Indicates the approximate mass of an entity expressed in metric tonnes.
-
C.
tonnageClass
Indicates a classification relationship where an entity is assigned to a category based on its tonnage (weight or carrying capacity range).
-
D.
tonnageGrossRegisterTonsApproximate
Indicates that the gross register tonnage of something (typically a vessel) is given as an approximate value rather than an exact measurement.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 28, 2026, 8:39 p.m.