Triple
T10140966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battleship New Jersey Museum and Memorial |
E231580
|
entity |
| Predicate | vesselTopSpeed |
P56054
|
FINISHED |
| Object | about 33 knots |
—
|
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: about 33 knots | Statement: [Battleship New Jersey Museum and Memorial, vesselTopSpeed, about 33 knots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vesselTopSpeed Context triple: [Battleship New Jersey Museum and Memorial, vesselTopSpeed, about 33 knots]
-
A.
maxVesselTonnage
Indicates the maximum tonnage capacity that a vessel is allowed or designed to carry.
-
B.
cruiseSpeed
Indicates the typical or optimal speed at which an entity is intended to travel under normal operating conditions.
-
C.
maximumWaterSpeed_kmh
chosen
Indicates the highest speed, measured in kilometers per hour, at which an entity can move through water.
-
D.
shipLength
Indicates the physical length measurement of a ship.
-
E.
maximumVesselType
Indicates the highest or largest class, size, or category of vessel that is allowed, applicable, or associated in a given context.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.