Triple
T29767335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aframax |
E753950
|
entity |
| Predicate | hasLowerDeadweightLimit |
P190348
|
FINISHED |
| Object | 80000 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 DWT | Statement: [Aframax, hasLowerDeadweightLimit, 80000 DWT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerDeadweightLimit Context triple: [Aframax, hasLowerDeadweightLimit, 80000 DWT]
-
A.
hasUpperDeadweightLimit
Indicates that there is a specified maximum deadweight capacity or load limit applicable to an entity.
-
B.
weightLimitLowerBoundLb
Indicates the minimum allowable weight, expressed in pounds, that satisfies a specified limit or constraint.
-
C.
weightLimitLowerBoundKg
Indicates the minimum allowable weight, in kilograms, that satisfies a specified limit or constraint.
-
D.
hasLowerColumnDensityLimitThan
Indicates that the column density of one entity is constrained to be lower than the column density of another entity.
-
E.
hasMinimumWeight
Indicates that an entity’s weight meets or exceeds a specified minimum threshold.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: April 28, 2026, 8:39 p.m.