Triple
T32206837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilya |
E822693
|
entity |
| Predicate | forgedInAge |
P97493
|
FINISHED |
| Object | Second Age |
—
|
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: Second Age | Statement: [Vilya, forgedInAge, Second Age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forgedInAge Context triple: [Vilya, forgedInAge, Second Age]
-
A.
forgedIn
chosen
Indicates that something was created, shaped, or formed within a particular place, context, or process.
-
B.
forgedWith
Indicates that something has been created, shaped, or formed through the use of a specified tool, material, method, or collaborative partner.
-
C.
forged
Indicates that an entity has created or produced something false or fraudulent, typically imitating something genuine with the intent to deceive.
-
D.
weaponTypeForged
Indicates that a specific type of weapon has been created or forged, typically specifying the kind or category of weapon produced.
-
E.
reforgedIn
Indicates that an object or material has been melted down or reworked and newly forged within a particular place, context, or process.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:36 a.m.