Triple
T3887927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancienne Douane de Strasbourg |
E87987
|
entity |
| Predicate | hasEconomicRoleInThePast |
P19843
|
FINISHED |
| Object | facilitated river trade |
—
|
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: facilitated river trade | Statement: [Ancienne Douane de Strasbourg, hasEconomicRoleInThePast, facilitated river trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicRoleInThePast Context triple: [Ancienne Douane de Strasbourg, hasEconomicRoleInThePast, facilitated river trade]
-
A.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
B.
formerEconomicActivity
chosen
Indicates that an entity previously engaged in a specified economic activity but no longer does so.
-
C.
hasHistoricalRoleAs
Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
-
D.
hasHistoricalOccupationMaterial
Indicates that something is composed of or contains material evidence related to past occupations or uses by people.
-
E.
hadStateOwnershipOfIndustry
Indicates that a governing authority or state entity possessed ownership and control over a particular industry.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecabe3548190a5cbf9d0af0bcfb6 |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.