Triple
T1811113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Duif |
E40332
|
entity |
| Predicate | hasUseStatus |
P15255
|
FINISHED |
| Object | active cultural venue |
—
|
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: active cultural venue | Statement: [De Duif, hasUseStatus, active cultural venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUseStatus Context triple: [De Duif, hasUseStatus, active cultural venue]
-
A.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
B.
hasActivityStatus
Indicates the current state or condition of an activity, such as whether it is planned, ongoing, completed, or cancelled.
-
C.
hasFormerUse
Indicates that something previously served a particular function or role that it no longer has.
-
D.
hasUser
Indicates that an entity is associated with or linked to a specific user.
-
E.
isInUse
chosen
Indicates that an entity is currently being utilized or actively engaged in its intended function or operation.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.