Triple
T37458919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muster for Battle |
E930868
|
entity |
| Predicate | equips |
P49731
|
FINISHED |
| Object | Light's Justice |
—
|
NE NERFINISHED |
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: Light's Justice | Statement: [Muster for Battle, equips, Light's Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equips Context triple: [Muster for Battle, equips, Light's Justice]
-
A.
equippedFor
Indicates that one entity is suitably provided with the necessary tools, features, or capabilities to perform a particular function or handle a specific situation for another entity or purpose.
-
B.
oftenEquippedWith
Indicates that one type of entity is frequently or typically outfitted, furnished, or supplied with another entity.
-
C.
woreEquipment
Indicates that an entity used or had on their person a specific piece of equipment.
-
D.
usesEquipment
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
-
E.
armedBy
chosen
Indicates that one entity is supplied with weapons, equipment, or armaments by 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.