Triple
T14470090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destruction of the Army of the Elephant |
E358815
|
entity |
| Predicate | involvedAnimal |
P114776
|
FINISHED |
| Object | war elephants |
—
|
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: war elephants | Statement: [Destruction of the Army of the Elephant, involvedAnimal, war elephants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedAnimal Context triple: [Destruction of the Army of the Elephant, involvedAnimal, war elephants]
-
A.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
B.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
C.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
-
D.
animalComponent
Indicates that one entity is a physical or functional part, piece, or constituent of an animal.
-
E.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f969788190a5114f92d7159aae |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de610330a48190b558235a14c0dc9f |
completed | April 14, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:20 a.m.