Triple

T18916978
Position Surface form Disambiguated ID Type / Status
Subject Force healing E462747 entity
Predicate canHeal P83701 FINISHED
Object physical injuries 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: physical injuries | Statement: [Force healing, canHeal, physical injuries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canHeal
Context triple: [Force healing, canHeal, physical injuries]
  • A. hasRemedy chosen
    Indicates that one entity serves as a remedy, treatment, or corrective measure for a problem, condition, or undesirable state associated with another entity.
  • B. regeneratesHealthIn
    Indicates that an entity’s health is restored or increased when it is within a specified context, area, or condition.
  • C. typeOfHealing
    Indicates the specific method or modality by which a healing process is carried out or achieved.
  • D. canDie
    Indicates that an entity has the capacity or possibility to die or cease living.
  • E. canDieIn
    Indicates that one entity is capable of dying, ceasing to exist, or being destroyed within, because of, or in the context of another entity or situation.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c627724881909cf63c67d64321e8 completed April 20, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69e4a2e9e6488190ba8df92c8058ed88 completed April 19, 2026, 9:39 a.m.
Created at: April 10, 2026, 11:58 a.m.