Triple
T14284787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 港区 |
E354141
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | 港区 |
E354141
|
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: 港区 | Statement: [港区, hasOfficialName, 港区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 港区 Context triple: [港区, hasOfficialName, 港区]
-
A.
港区
chosen
港区 is a central Tokyo ward known for its major business districts, embassies, upscale neighborhoods, and landmarks such as Roppongi and Tokyo Tower.
-
B.
Yantian District
Yantian District is a coastal administrative district of Shenzhen, China, known for its major container port and scenic areas such as Dameisha and Xiaomeisha beaches.
-
C.
Dongjiang Port Area
Dongjiang Port Area is a major logistics and shipping hub within the Port of Tianjin, serving as a key gateway for international trade in northern China.
-
D.
Jianghai District
Jianghai District is an urban administrative district within the city of Jiangmen in Guangdong Province, China, known for its role in the region’s industrial and economic development.
-
E.
Huangpu Port Area
Huangpu Port Area is a major component of the Port of Guangzhou, serving as a key hub for cargo handling and maritime trade in southern China.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467f3b3081908261261301674c4e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:10 a.m.