Triple
T37515096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templar |
E932613
|
entity |
| Predicate | hasDefensiveSynergyWith |
P176327
|
FINISHED |
| Object | armor |
—
|
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: armor | Statement: [Templar, hasDefensiveSynergyWith, armor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefensiveSynergyWith Context triple: [Templar, hasDefensiveSynergyWith, armor]
-
A.
defensiveSynergyWith
chosen
Indicates a mutually reinforcing defensive relationship in which the protective effectiveness of each entity is enhanced by the presence or actions of the other.
-
B.
hasDefensiveForce
Indicates that one entity possesses or maintains a defensive capability, protection, or force directed toward or associated with another entity.
-
C.
hasDefensiveType
Indicates that an entity possesses or is associated with a particular defensive category, attribute, or capability used for protection.
-
D.
hasDefensivePositions
Indicates that an entity possesses or controls locations, structures, or arrangements specifically organized for defense against potential threats or attacks.
-
E.
defensiveSkillEmphasized
Indicates that particular focus or priority is placed on developing or utilizing defensive skills in the relevant context.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:17 p.m.