Triple
T28081129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Claus Post Office |
E709679
|
entity |
| Predicate | postalTheme |
P164392
|
FINISHED |
| Object | Christmas-themed 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-themed postmarks | Statement: [Santa Claus Post Office, postalTheme, Christmas-themed postmarks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalTheme Context triple: [Santa Claus Post Office, postalTheme, Christmas-themed postmarks]
-
A.
postalCodeTheme
Indicates a thematic or conceptual association between a postal code and another entity (such as a topic, category, or subject area).
-
B.
postalService
Indicates a relationship where one entity provides or manages the delivery and handling of mail and packages for another entity.
-
C.
postalServiceDesignation
Indicates the official classification or label assigned to an entity by a postal service for mail handling, routing, or addressing purposes.
-
D.
postalDepiction
Indicates a relationship where one entity is depicted or represented on a postal item (such as a stamp, envelope, or postcard).
-
E.
postalIntegration
Indicates a relationship where one system or entity is connected to and can exchange or synchronize data with a postal or mail-handling system.
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 8:52 p.m.