Triple
T36196863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle between USS Constitution and HMS Java |
E1047150
|
entity |
| Predicate | shipNicknameInvolved |
P170054
|
FINISHED |
| Object | USS Constitution nicknamed "Old Ironsides" |
—
|
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: USS Constitution nicknamed "Old Ironsides" | Statement: [Battle between USS Constitution and HMS Java, shipNicknameInvolved, USS Constitution nicknamed "Old Ironsides"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipNicknameInvolved Context triple: [Battle between USS Constitution and HMS Java, shipNicknameInvolved, USS Constitution nicknamed "Old Ironsides"]
-
A.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
B.
shipInvolved
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
-
C.
shipTypeInvolved
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
-
D.
namedVesselOf
Indicates that one entity is the specific named vessel (e.g., ship, boat, or craft) associated with or belonging to another entity.
-
E.
USShipNicknameInvolved
chosen
Indicates that a specific nickname of a U.S. ship is involved in, or associated with, a particular event or relationship.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.