Triple
T26906771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beurs voor Diamanthandel |
E677274
|
entity |
| Predicate | hasTradingActivity |
P19746
|
FINISHED |
| Object | wholesale diamond trading |
—
|
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: wholesale diamond trading | Statement: [Beurs voor Diamanthandel, hasTradingActivity, wholesale diamond trading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradingActivity Context triple: [Beurs voor Diamanthandel, hasTradingActivity, wholesale diamond trading]
-
A.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
-
B.
has activity
Indicates that one entity performs, exhibits, or is engaged in a particular action, behavior, or process associated with another entity.
-
C.
hasActivityIn
chosen
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
D.
hasRecentActivity
Indicates that the subject has performed an action or been involved in an event within a defined recent time period.
-
E.
hasFrequentActivity
Indicates that an entity regularly engages in or exhibits a high level of a particular activity over a given period.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 27, 2026, 5:59 a.m.