Triple
T19577940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luohu Port |
E489908
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Luohu Railway Station |
—
|
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: Luohu Railway Station | Statement: [Luohu Port, adjacentTo, Luohu Railway Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luohu Railway Station Context triple: [Luohu Port, adjacentTo, Luohu Railway Station]
-
A.
Luohu station
chosen
Luohu station is a major Shenzhen Metro interchange and border-adjacent hub connecting central Shenzhen with Hong Kong via the Luohu/Lo Wu checkpoint.
-
B.
Lianglukou Station
Lianglukou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as a key hub for urban rail transit.
-
C.
Zhushikou station
Zhushikou station is a Beijing Subway interchange station in central Beijing, serving as a key stop near the historic Qianmen and Dashilan areas.
-
D.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
E.
Huilongguan station
Huilongguan station is a subway station in Beijing’s Changping District that serves the large Huilongguan residential area as part of the city’s urban rail network.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64025d5d081909dbb0c079d366006 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.