Triple
T12103817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taweret |
E288251
|
entity |
| Predicate | objectTypeAssociated |
P70956
|
FINISHED |
| Object | wands |
—
|
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: wands | Statement: [Taweret, objectTypeAssociated, wands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectTypeAssociated Context triple: [Taweret, objectTypeAssociated, wands]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
C.
associatedItem
chosen
Indicates that one item is linked or connected to another in a relevant or context-dependent way, without specifying a more precise relationship.
-
D.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.