Triple
T38575874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Battle of Sirte |
E929398
|
entity |
| Predicate | ItalianShipParticipated |
P191212
|
FINISHED |
| Object | Littorio |
—
|
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: Littorio | Statement: [First Battle of Sirte, ItalianShipParticipated, Littorio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ItalianShipParticipated Context triple: [First Battle of Sirte, ItalianShipParticipated, Littorio]
-
A.
ItalianIronclad
Indicates that the subject is an ironclad warship that belongs to, or is associated with, Italy or the Italian navy.
-
B.
ItalianFleetOutcome
Indicates the result or consequence experienced by the Italian fleet in a particular event or engagement.
-
C.
AustroHungarianShipInvolved
Indicates that a ship belonging to or operated by the Austro-Hungarian Empire was involved in a specified event or interaction.
-
D.
shipSankIn
Indicates that a specific ship sank (was lost or submerged) in a particular location or body of water.
-
E.
notableVictimShip
Indicates that a ship is recognized as a particularly significant or noteworthy victim in a specific incident or context.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.