Triple
T25026954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZSHC |
E626735
|
entity |
| Predicate | associatedCityServed |
P178557
|
FINISHED |
| Object | Hangzhou |
—
|
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: Hangzhou | Statement: [ZSHC, associatedCityServed, Hangzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCityServed Context triple: [ZSHC, associatedCityServed, Hangzhou]
-
A.
alternativeCityServed
Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
-
B.
belongsToCityServedBy
Indicates that something is associated with or part of the city that is served by a particular service, facility, or infrastructure.
-
C.
modernCityServed
Indicates that a modern city receives services, support, or functions (such as transportation, utilities, or administration) from a specified provider or infrastructure.
-
D.
primaryCitiesServed
Indicates the main cities that are directly served or covered by a given entity’s services or operations.
-
E.
cityServedType
Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
- F. None of above. chosen
Provenance (4 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 18, 2026, 6:07 a.m.