Triple
T29767336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aframax |
E753950
|
entity |
| Predicate | hasUpperDeadweightLimit |
P167857
|
FINISHED |
| Object | 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: 120000 DWT | Statement: [Aframax, hasUpperDeadweightLimit, 120000 DWT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperDeadweightLimit Context triple: [Aframax, hasUpperDeadweightLimit, 120000 DWT]
-
A.
hasVehicleWeightLimit
Indicates that there is a maximum allowable weight for vehicles associated with, or permitted to use, a given object or location.
-
B.
weightLimitInKilograms
Indicates the maximum allowable weight for something, expressed in kilograms.
-
C.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
D.
maximumTonnageLimitedBy
Indicates that the maximum allowable tonnage of one entity is constrained or capped by the capacity or limit specified by another entity.
-
E.
slingLoadCapacity
Indicates the maximum weight or load that can be safely carried or supported using a sling.
- 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_69f6745d64ec8190a4726ed224b82873 |
completed | May 2, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 28, 2026, 8:39 p.m.