Triple
T30345812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirou Emiya |
E771865
|
entity |
| Predicate | realityMarbleName |
P168878
|
FINISHED |
| Object | Unlimited Blade Works |
—
|
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: Unlimited Blade Works | Statement: [Shirou Emiya, realityMarbleName, Unlimited Blade Works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realityMarbleName Context triple: [Shirou Emiya, realityMarbleName, Unlimited Blade Works]
-
A.
marbleType
Indicates that one entity is of a specific type or category of marble in relation to another entity.
-
B.
notTrueMarble
Indicates that the assertion or condition concerning the marble is not true.
-
C.
marbleUsedFor
Indicates that one entity (a marble) is employed or utilized for a particular purpose, function, or application in relation to another entity.
-
D.
hasMuseumName
Indicates that an entity (typically a museum) is associated with a specific name or title.
-
E.
materialTypicallyInscribedOn
Indicates the material that is most commonly used as the surface or medium on which something is inscribed.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682073b00819087f197f3937071a5 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:55 p.m.