Triple
T11542978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soldier: 76 |
E273717
|
entity |
| Predicate | healingAbility |
P90771
|
FINISHED |
| Object | Biotic Field |
—
|
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: Biotic Field | Statement: [Soldier: 76, healingAbility, Biotic Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healingAbility Context triple: [Soldier: 76, healingAbility, Biotic Field]
-
A.
regenerationAbility
Indicates the capability of an entity to restore or regrow lost or damaged parts of itself.
-
B.
forceAbility
Indicates that one entity has the power or capacity to compel, influence, or cause another entity to act or change in a particular way.
-
C.
revivesSpiritOf
Indicates restoring or reawakening the emotional, cultural, or motivational essence associated with someone or something.
-
D.
sacramentOfHealing
Indicates a relationship in which a religious sacrament is administered to bring spiritual or physical healing to a person.
-
E.
methodOfRejuvenation
chosen
Indicates a process or technique used to restore youthfulness, vitality, or an earlier optimal state to something or someone.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.