Triple
T20049877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shekou Metro Station |
E499164
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Shekou area |
—
|
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 area | Statement: [Shekou Metro Station, serves, Shekou area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shekou area Context triple: [Shekou Metro Station, serves, Shekou area]
-
A.
Shekou Subdistrict
chosen
Shekou Subdistrict is a coastal urban area in Shenzhen’s Nanshan District known for its port, expatriate community, and role as an early hub of China’s economic reform and opening-up.
-
B.
Nanshi area
The Nanshi area is Shanghai’s historic old city quarter, known for its traditional streets, markets, and cultural heritage within the modern Huangpu District.
-
C.
Xinqiao area
Xinqiao area is a district in Hefei, Anhui Province, China, known for hosting the city’s major international airport and related urban development.
-
D.
Caishikou area
The Caishikou area is a historic commercial and residential neighborhood in central Beijing known for its traditional markets, dense urban fabric, and proximity to major city landmarks.
-
E.
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.
- 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.