Triple
T7845059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champagne (province) |
E181902
|
entity |
| Predicate | importantTradeRoute |
P35626
|
FINISHED |
| Object | link between Italy and Flanders |
—
|
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: link between Italy and Flanders | Statement: [Champagne (province), importantTradeRoute, link between Italy and Flanders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantTradeRoute Context triple: [Champagne (province), importantTradeRoute, link between Italy and Flanders]
-
A.
includesTradeRoute
chosen
Indicates that one entity contains, encompasses, or makes use of a particular trade route within its scope or structure.
-
B.
historicTradeRole
Indicates that an entity historically functioned as a significant participant or hub in trade or commercial exchange.
-
C.
historicalPeriodOfIntenseTrade
Indicates a time span characterized by unusually high levels of trade activity between parties or regions.
-
D.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
E.
wasCrossroadsOf
Indicates that a place served as a central junction or meeting point where multiple routes, paths, or influences converged.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163d92fc8190a4efcb08d6b3d404 |
completed | March 31, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:48 p.m.