Triple
T8070937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Claus, Indiana |
E188369
|
entity |
| Predicate | postalCodeTheme |
P80341
|
FINISHED |
| Object | Christmas-related postmarks |
—
|
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: Christmas-related postmarks | Statement: [Santa Claus, Indiana, postalCodeTheme, Christmas-related postmarks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalCodeTheme Context triple: [Santa Claus, Indiana, postalCodeTheme, Christmas-related postmarks]
-
A.
postalCode
Indicates the numerical or alphanumerical code assigned to a geographic area for mail delivery associated with an entity.
-
B.
postalArea
Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other entity.
-
C.
postalCodeSystem
Indicates a system that assigns structured postal codes to geographic areas for organizing and routing mail.
-
D.
postalDepiction
Indicates a relationship where one entity is depicted or represented on a postal item (such as a stamp, envelope, or postcard).
-
E.
postalName
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ffe29188190834ec4f71043a99d |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:27 p.m.