Triple
T5178709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babruvahana |
E116862
|
entity |
| Predicate | weaponSpeciality |
P22495
|
FINISHED |
| Object | archery |
—
|
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: archery | Statement: [Babruvahana, weaponSpeciality, archery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponSpeciality Context triple: [Babruvahana, weaponSpeciality, archery]
-
A.
weaponDiscipline
chosen
Indicates that an entity practices, adheres to, or is governed by a particular system, style, or code of weapon use or combat training.
-
B.
weaponCapability
Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
-
C.
weaponDesigner
Indicates that one entity is the creator or designer of a weapon used or associated with another entity.
-
D.
weapon
Indicates that one entity is used as a weapon by, or serves as the weapon of, another entity.
-
E.
weaponCategory
Indicates the classification or type of weapon to which an item or armament belongs.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7976339481909ece900de22064f2 |
completed | March 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.