Triple
T15362199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Post Office Loop Station |
E367314
|
entity |
| Predicate | postalFunction |
P19163
|
FINISHED |
| Object | mail acceptance |
—
|
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: mail acceptance | Statement: [US Post Office Loop Station, postalFunction, mail acceptance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalFunction Context triple: [US Post Office Loop Station, postalFunction, mail acceptance]
-
A.
postalService
Indicates a relationship where one entity provides or manages the delivery and handling of mail and packages for another entity.
-
B.
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.
-
C.
postalServiceDesignation
chosen
Indicates the official classification or label assigned to an entity by a postal service for mail handling, routing, or addressing purposes.
-
D.
postUSUse
Indicates a relationship where something is used, applied, or occurs after being in the United States or following a U.S.-related phase or context.
-
E.
postNominalLetters
Indicates that a person is associated with specific letters placed after their name to denote qualifications, honors, or professional affiliations.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e479f188190bbbc3dcd73853e02 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.