Triple
T30377741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle between USS Constitution and HMS Cyane and HMS Levant |
E772736
|
entity |
| Predicate | shipTypeOnUnitedStatesSide |
P8971
|
FINISHED |
| Object | heavy 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: heavy frigate | Statement: [Battle between USS Constitution and HMS Cyane and HMS Levant, shipTypeOnUnitedStatesSide, heavy frigate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipTypeOnUnitedStatesSide Context triple: [Battle between USS Constitution and HMS Cyane and HMS Levant, shipTypeOnUnitedStatesSide, heavy frigate]
-
A.
shipTypeInvolved
chosen
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
-
B.
involvedShipUnitedStates
Indicates that a ship involved in an event, action, or relationship is associated with or belongs to the United States.
-
C.
nationalityOfVessels
Indicates the country or flag state to which vessels legally belong or are registered.
-
D.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
E.
vesselTypeServedOn
Indicates the type of vessel on which an entity has served or performed duty.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68515aa2081908bae3de1802bd9df |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8 p.m.