Triple
T7782419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongqing North Railway Station |
E221552
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | CUW |
E193549
|
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: CUW | Statement: [Chongqing North Railway Station, hasStationCode, CUW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUW Context triple: [Chongqing North Railway Station, hasStationCode, CUW]
-
A.
CUW
chosen
CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
-
B.
CUWMA
CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
-
C.
CUC
CUC is the national organization representing Unitarian and Unitarian Universalist congregations across Canada, providing support, resources, and coordination for their religious and social justice activities.
-
D.
CUA
CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
-
E.
CUA
CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cadf1dcc6c8190b3c6ee4ff7808e02 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5d30c748190bbb71534cfdf4f75 |
completed | March 30, 2026, 10:14 p.m. |
Created at: March 30, 2026, 4:21 p.m.