Triple
T8917378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa's workshop |
E212325
|
entity |
| Predicate | hasResidentRole |
P26583
|
FINISHED |
| Object | toy maker elves |
—
|
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: toy maker elves | Statement: [Santa's workshop, hasResidentRole, toy maker elves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentRole Context triple: [Santa's workshop, hasResidentRole, toy maker elves]
-
A.
hasResidentOrganization
Indicates that an organization is based in, operates from, or maintains a primary presence within a particular place or facility.
-
B.
hasNonHumanResident
chosen
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
C.
hasLocalGovernanceRole
Indicates that an entity holds an official position or responsibility within a local or municipal governing body.
-
D.
hasResidentShowLocation
Indicates that a location is the regular or primary venue where a resident show is held.
-
E.
hasRegionalRole
Indicates that an entity holds a specific role, function, or responsibility within a defined geographic region.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.