Triple
T9586293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wujing |
E231297
|
entity |
| Predicate | hasPostalSystem |
P14969
|
FINISHED |
| Object | China Post |
E455296
|
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: China Post | Statement: [Wujing, hasPostalSystem, China Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Post Context triple: [Wujing, hasPostalSystem, China Post]
-
A.
China Post
chosen
China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial services.
-
B.
Vietnam Post
Vietnam Post is Vietnam’s state-owned national postal service provider, responsible for mail delivery, logistics, and related financial and communication services across the country.
-
C.
Swiss Post
Swiss Post is Switzerland’s national postal service provider, responsible for mail delivery, logistics, and various financial and digital services across the country.
-
D.
India Post
India Post is the government-operated postal system of India, providing mail, financial, and retail services across an extensive nationwide network.
-
E.
Japan Post
Japan Post is Japan’s national postal service operator, providing mail delivery, logistics, and related financial services across the country.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99edc2c08190b67b40f6214d46f1 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1618251c48190886190975dfde5ac |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.