Triple
T37540545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flame Leviathan |
E933313
|
entity |
| Predicate | canDamageEnemyCharacters |
P32756
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Flame Leviathan, canDamageEnemyCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canDamageEnemyCharacters Context triple: [Flame Leviathan, canDamageEnemyCharacters, true]
-
A.
canDamageFriendlyCharacters
Indicates that an entity’s actions or effects are capable of harming or inflicting damage on allied or friendly characters.
-
B.
takesDamageFrom
Indicates that one entity receives or suffers damage as a result of an action, effect, or interaction caused by another entity.
-
C.
damageTo
chosen
Indicates a relationship where one entity causes harm, loss, or deterioration to another entity.
-
D.
enemyCharacterIn
Indicates that a character is located within or present inside an enemy-controlled area, zone, or context.
-
E.
attackEffect
Indicates that one entity’s attack produces a specific effect or consequence on 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.