Triple
T776064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Jeremiah O’Brien |
E16388
|
entity |
| Predicate | deadweightTonnage |
P19646
|
FINISHED |
| Object | 10176 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: 10176 DWT | Statement: [SS Jeremiah O’Brien, deadweightTonnage, 10176 DWT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deadweightTonnage Context triple: [SS Jeremiah O’Brien, deadweightTonnage, 10176 DWT]
-
A.
standardDisplacement
Indicates the typical or officially specified amount of displacement (such as volume, weight, or capacity) associated with an entity under standard conditions.
-
B.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
C.
cargoHoldVolume
Indicates the total internal volume available within a cargo hold for storing goods or materials.
-
D.
warheadMass
Indicates the mass or weight of a warhead associated with an entity or system.
-
E.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a74c81bc81909f4ac9c1677b09c2 |
completed | March 1, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:37 p.m.