Triple
T205161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Postal Union |
E4595
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UPU |
E4595
|
NE 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: UPU | Statement: [Universal Postal Union, shortName, UPU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPU Context triple: [Universal Postal Union, shortName, UPU]
-
A.
Universal Postal Union
chosen
The Universal Postal Union is a specialized United Nations agency that coordinates international postal policies and services among member countries to ensure a unified global mail system.
-
B.
United States Postal Service
The United States Postal Service is an independent agency of the U.S. federal government responsible for providing nationwide postal delivery and related mail services.
-
C.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
-
D.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
E.
UPY
UPY is a reporting mark used by Union Pacific Railroad, primarily identifying its yard and switching locomotives.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c04e42481909e957cb34dc02731 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a32bc77734819095e6cf53a10aa3d8 |
completed | Feb. 28, 2026, 5:54 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.