Triple
T5375172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakshmana |
E108942
|
entity |
| Predicate | wielded |
P706
|
FINISHED |
| Object | bow and arrows |
—
|
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: bow and arrows | Statement: [Lakshmana, wielded, bow and arrows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wielded Context triple: [Lakshmana, wielded, bow and arrows]
-
A.
usedWeapon
chosen
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
B.
weaponizedAs
Indicates that something has been adapted, modified, or used for the purpose of causing harm, damage, or coercion, effectively turning it into a weapon.
-
C.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
-
D.
armed
Indicates that an entity is equipped with or carrying a weapon or weapons.
-
E.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.