Triple
T27623347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle between USS Constitution and HMS Guerriere |
E696136
|
entity |
| Predicate | USShipType |
P6545
|
FINISHED |
| Object | 44-gun frigate |
—
|
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: 44-gun frigate | Statement: [Battle between USS Constitution and HMS Guerriere, USShipType, 44-gun frigate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USShipType Context triple: [Battle between USS Constitution and HMS Guerriere, USShipType, 44-gun frigate]
-
A.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
B.
USShipRate
Indicates the rate or cost at which items are shipped within, from, or to the United States.
-
C.
originalShipType
chosen
Indicates the type or category of ship that an entity was originally classified or built as.
-
D.
capturedShipType
Indicates that one entity has taken possession of another entity’s ship, specifying the type or category of the ship that was captured.
-
E.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:16 p.m.