Triple
T5902834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam flower industry |
E131267
|
entity |
| Predicate | tradeFlow |
P23353
|
FINISHED |
| Object | imports flowers from multiple continents |
—
|
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: imports flowers from multiple continents | Statement: [Amsterdam flower industry, tradeFlow, imports flowers from multiple continents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeFlow Context triple: [Amsterdam flower industry, tradeFlow, imports flowers from multiple continents]
-
A.
tradeNetwork
chosen
Indicates a relationship where entities are connected through the exchange of goods, services, or resources within an ongoing system of trade.
-
B.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
C.
tradeSystem
Indicates a system or framework through which goods, services, or assets are exchanged between parties under defined rules or mechanisms.
-
D.
tradedTo
Indicates that ownership or contractual rights to an entity (such as a player, asset, or item) were transferred from one party to another, typically as part of an exchange or deal.
-
E.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.