Triple
T23469684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中央区 |
E569191
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | 港区 |
—
|
NE NERFINISHED |
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: [中央区, borders, 港区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 港区 Context triple: [中央区, borders, 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 Port area
Yantian Port area is a major deep-water container port and industrial zone in Shenzhen, China, serving as a key hub for international maritime trade.
-
C.
Shekou port area
Shekou port area is a major coastal district in Shenzhen known for its busy container port, ferry terminals, and surrounding commercial and residential developments.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.