Triple
T28593023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew Wikipedia |
E723705
|
entity |
| Predicate | talkNamespaceName |
P164892
|
FINISHED |
| Object | שיחה |
—
|
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: שיחה | Statement: [Hebrew Wikipedia, talkNamespaceName, שיחה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: talkNamespaceName Context triple: [Hebrew Wikipedia, talkNamespaceName, שיחה]
-
A.
namedSpace
Indicates that an entity has been assigned or is associated with a specific name within a particular namespace or naming context.
-
B.
vendorNamespace
Indicates that something belongs to, is defined within, or is associated with a particular vendor’s designated namespace.
-
C.
baseNamespace
Indicates the foundational namespace from which other namespaces, identifiers, or resources are defined or derived.
-
D.
namespace
Indicates a scoping relationship in which identifiers or symbols are grouped under a specific context or name to avoid conflicts and organize them.
-
E.
providerNamespaceExample
Indicates that an example or sample is associated with a specific provider’s namespace within a system or service.
- F. None of above. chosen
Provenance (4 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:21 a.m.