Triple
T29377224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linqing City |
E745032
|
entity |
| Predicate | hasCanalFunction |
P194124
|
FINISHED |
| Object | transshipment point on the Grand Canal |
—
|
LITERAL 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: transshipment point on the Grand Canal | Statement: [Linqing City, hasCanalFunction, transshipment point on the Grand Canal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanalFunction Context triple: [Linqing City, hasCanalFunction, transshipment point on the Grand Canal]
-
A.
hasCanalOrChannel
Indicates that one entity possesses, contains, or is traversed by a canal or channel that serves as a conduit or passageway.
-
B.
hasCanalSection
Indicates a relationship where one entity includes, contains, or is associated with a specific section or segment of a canal.
-
C.
hasCanalDirection
Indicates that a canal has a specific directional orientation or flow direction relative to a reference.
-
D.
hasCanalParallel
Indicates that one canal runs parallel to another canal without intersecting it.
-
E.
hasCanalLock
Indicates that one entity (typically a canal or waterway) includes or is equipped with a canal lock used to raise and lower boats between stretches of water at different levels.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: April 28, 2026, 2:32 p.m.