Triple
T35386240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invincibility Leaf |
E1022799
|
entity |
| Predicate | cannotProtectFrom |
P6922
|
FINISHED |
| Object | bottomless pits |
—
|
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: bottomless pits | Statement: [Invincibility Leaf, cannotProtectFrom, bottomless pits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotProtectFrom Context triple: [Invincibility Leaf, cannotProtectFrom, bottomless pits]
-
A.
doesNotProtect
chosen
Indicates that an entity fails to provide protection or safeguarding to another entity or object.
-
B.
cannotRestrict
Indicates that one entity lacks the authority, ability, or right to impose limits, constraints, or prohibitions on another entity or its actions.
-
C.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
D.
isProtectedFrom
Indicates that one entity is safeguarded or shielded against harm, damage, or adverse effects caused by another entity or factor.
-
E.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f649648190a79d90e6e67fe2dc |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.