Triple
T14315915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangpi, Hubei, Qing Empire |
E354955
|
entity |
| Predicate | partOfHistoricalTransportRegion |
P105562
|
FINISHED |
| Object | middle Yangtze basin |
—
|
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: middle Yangtze basin | Statement: [Huangpi, Hubei, Qing Empire, partOfHistoricalTransportRegion, middle Yangtze basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfHistoricalTransportRegion Context triple: [Huangpi, Hubei, Qing Empire, partOfHistoricalTransportRegion, middle Yangtze basin]
-
A.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
B.
railwayRegion
Indicates a relationship where a railway or rail network is associated with, located in, or administered within a particular geographic region.
-
C.
historicalRegionCode
Indicates that an entity is associated with a specific code identifying a historical region.
-
D.
historicalAdministrativeRegionName
Indicates the name assigned to an administrative region as it existed during a specific historical period.
-
E.
historicalRegionPartlyIn
chosen
Indicates that a historical region is located partly, but not entirely, within a specified larger area or territory.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.