Triple
T6488454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acrisius |
E146572
|
entity |
| Predicate | containerUsed |
P34427
|
FINISHED |
| Object | wooden chest |
—
|
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: wooden chest | Statement: [Acrisius, containerUsed, wooden chest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containerUsed Context triple: [Acrisius, containerUsed, wooden chest]
-
A.
containerType
chosen
Indicates the specific kind or category of container associated with or used to hold an entity.
-
B.
spaceUsage
Indicates how much physical or storage space is occupied or utilized by an entity relative to the total available space.
-
C.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
D.
arenaUsed
Indicates that a particular arena or venue is utilized or has been employed for a specific event, activity, or purpose.
-
E.
capacityCategory
Indicates the classification of something based on the amount or volume it can hold, handle, or accommodate.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a97fff88190b6f993c14df62649 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:52 p.m.