Triple
T28794978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao Cai–Hekou rail link to China |
E727060
|
entity |
| Predicate | historicalTerminusInChina |
P39746
|
FINISHED |
| Object | Hekou 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: Hekou railway station | Statement: [Lao Cai–Hekou rail link to China, historicalTerminusInChina, Hekou railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalTerminusInChina Context triple: [Lao Cai–Hekou rail link to China, historicalTerminusInChina, Hekou railway station]
-
A.
historicalTerminus
chosen
Indicates that one entity serves as the historically recognized endpoint or final limit of another entity, such as a route, period, or process.
-
B.
statusInImperialChina
Indicates the social, political, or bureaucratic standing an entity holds within the hierarchical system of Imperial China.
-
C.
introducedToChina
Indicates that an entity was brought or presented to China for the first time or for initial adoption or exposure.
-
D.
yearsInChina
Indicates the number of years an entity has spent in or been present in China.
-
E.
unifiedChinaInYear
Indicates that the subject brought all of China under a single political authority in the specified year.
- F. None of above.
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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: April 28, 2026, 6:25 a.m.