Triple
T20049872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shekou Metro Station |
E499164
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Shekou |
—
|
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: Shekou | Statement: [Shekou Metro Station, locatedIn, Shekou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shekou Context triple: [Shekou Metro Station, locatedIn, Shekou]
-
A.
Shekou
chosen
Shekou is a coastal district in Shenzhen, China, known as a major transportation and commercial hub with significant port facilities and expatriate communities.
-
B.
Caishikou
Caishikou is a subway station in central Beijing that serves as an important stop on the city’s urban rail network.
-
C.
Jian'ou
Jian'ou is a county-level city in northern Fujian Province, China, administered by the prefecture-level city of Nanping and known for its historical and cultural heritage.
-
D.
Tangkou Town
Tangkou Town is a gateway settlement at the foot of Huangshan (Yellow Mountain) in Anhui, China, serving as a primary base for tourists visiting the scenic area and its hot springs.
-
E.
Kwang-Chou-Wan
Kwang-Chou-Wan was a small leased territory in southern China that served as a French colonial enclave administered as part of French Indochina in the late 19th and early 20th centuries.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632cccb481908278c8b2930a8c26 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.