Triple
T37523001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Queen Charlotte (1790) |
E932829
|
entity |
| Predicate | roleInBattleOfTheGloriousFirstOfJune |
P203867
|
FINISHED |
| Object | flagship of Admiral Lord Howe |
—
|
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: flagship of Admiral Lord Howe | Statement: [HMS Queen Charlotte (1790), roleInBattleOfTheGloriousFirstOfJune, flagship of Admiral Lord Howe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfTheGloriousFirstOfJune Context triple: [HMS Queen Charlotte (1790), roleInBattleOfTheGloriousFirstOfJune, flagship of Admiral Lord Howe]
-
A.
commanderAtGloriousFirstOfJune
Indicates that an entity served as a commander during the naval battle known as the Glorious First of June.
-
B.
roleInBattleOfTheChesapeake
Indicates the specific function, position, or involvement an entity had in the Battle of the Chesapeake.
-
C.
roleInBattleOfFlamboroughHead
Indicates the specific role or involvement an entity had in the Battle of Flamborough Head.
-
D.
roleInBattleOfSluys
Indicates the specific role or involvement an entity had in the Battle of Sluys.
-
E.
roleAtBattleOfToulon
Indicates the specific role, position, or function an entity held during the Battle of Toulon.
- F. None of above. chosen
Provenance (4 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0227ce59a081909fe1ba1181d86b4d |
completed | May 11, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_6a02273989208190beb948b8c7bdaee3 |
completed | May 11, 2026, 7 p.m. |
| PDg | Predicate description generation | batch_6a0227cd6e348190983e90e349aa155b |
completed | May 11, 2026, 7:02 p.m. |
Created at: May 3, 2026, 4:17 p.m.