Triple
T25112670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Lake Erie Squadron |
E629040
|
entity |
| Predicate | flagshipAtBattleOfLakeErie |
P53217
|
FINISHED |
| Object | USS Lawrence |
—
|
NE NERFINISHED |
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 Lawrence | Statement: [U.S. Lake Erie Squadron, flagshipAtBattleOfLakeErie, USS Lawrence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipAtBattleOfLakeErie Context triple: [U.S. Lake Erie Squadron, flagshipAtBattleOfLakeErie, USS Lawrence]
-
A.
statusDuringBattleOfLakeErie
Indicates the role, condition, or situation an entity held during the Battle of Lake Erie.
-
B.
flagshipDuringBattle
chosen
Indicates that one entity serves as the primary command ship for another entity during a specific battle or military engagement.
-
C.
flagshipAt
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
-
D.
fleetFlagshipOf
Indicates that one entity serves as the primary or leading flagship of a particular fleet.
-
E.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4657881d88190bce0be95d5e2399c |
completed | May 1, 2026, 8:34 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:27 a.m.