Triple
T9421934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Carthage (698) |
E227172
|
entity |
| Predicate | involvedDestructionOf |
P5325
|
FINISHED |
| Object | fortifications of Carthage |
—
|
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: fortifications of Carthage | Statement: [Battle of Carthage (698), involvedDestructionOf, fortifications of Carthage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedDestructionOf Context triple: [Battle of Carthage (698), involvedDestructionOf, fortifications of Carthage]
-
A.
sufferedDestructionOf
Indicates that one entity experienced damage, ruin, or loss as a result of the destruction of another entity.
-
B.
typeOfDestruction
Indicates the specific manner or method by which something is destroyed or caused to cease to exist.
-
C.
hasCauseOfDestruction
chosen
Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
-
D.
designedToDestroy
Indicates that one entity was intentionally created or configured for the purpose of damaging, disabling, or annihilating another entity.
-
E.
hasDemolitionOrDestruction
Indicates that one entity causes, undergoes, or is associated with the demolition or destruction of another entity.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2651c48190808281779fab49df |
completed | April 1, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.