Triple
T32206835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilya |
E822693
|
entity |
| Predicate | forgedByRace |
P173326
|
FINISHED |
| Object | Elves |
—
|
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: Elves | Statement: [Vilya, forgedByRace, Elves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forgedByRace Context triple: [Vilya, forgedByRace, Elves]
-
A.
forgedIn
Indicates that something was created, shaped, or formed within a particular place, context, or process.
-
B.
forged
Indicates that an entity has created or produced something false or fraudulent, typically imitating something genuine with the intent to deceive.
-
C.
forgedWith
Indicates that something has been created, shaped, or formed through the use of a specified tool, material, method, or collaborative partner.
-
D.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
E.
weaponForgedFor
Indicates that a weapon was specifically created or crafted for a particular entity, purpose, or context.
- F. None of above. chosen
Provenance (4 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_69f6bb8ac984819098e2660c02662deb |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:36 a.m.