Triple
T3384609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strijp |
E71265
|
entity |
| Predicate | currentPrimaryFunction |
P88
|
FINISHED |
| Object | mixed-use urban district |
—
|
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: mixed-use urban district | Statement: [Strijp, currentPrimaryFunction, mixed-use urban district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentPrimaryFunction Context triple: [Strijp, currentPrimaryFunction, mixed-use urban district]
-
A.
hasPrimaryFunction
chosen
Indicates that one entity serves as the main or principal function or role of another entity.
-
B.
primaryFunctionContext
Indicates the main situational or operational context in which a function, role, or process is primarily intended to be used or performed.
-
C.
primaryHubFunction
Indicates that an entity serves as the main central node or core facility through which key activities, connections, or operations are coordinated or routed.
-
D.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
E.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ee5e188190912dcea494a12038 |
completed | March 8, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.