Triple
T21813399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward mining district |
E538532
|
entity |
| Predicate | transportationDuringBoom |
P17861
|
FINISHED |
| Object | wagon freight routes |
—
|
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: wagon freight routes | Statement: [Ward mining district, transportationDuringBoom, wagon freight routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationDuringBoom Context triple: [Ward mining district, transportationDuringBoom, wagon freight routes]
-
A.
eraOfGreatestTransportationImportance
Indicates the time period during which a transportation route, mode, or system held its highest relative significance or impact compared to other periods.
-
B.
transportationTypeHistoricallyImportant
chosen
Indicates that a mode of transportation has played a significant role or had notable impact in historical events, periods, or developments.
-
C.
historicalTransportation
Indicates that one entity served as a means or system of transportation for another in a historical context.
-
D.
transportationContext
Indicates the situational or environmental conditions under which transportation occurs, such as mode, purpose, or circumstances of travel.
-
E.
showsTransportation
Indicates that one entity presents or depicts a means or mode of transportation associated with another entity.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc7ec1c8190a5420b44a49ae32f |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.