Triple
T13019834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TQuery |
E322643
|
entity |
| Predicate | canBeLinkedTo |
P107489
|
FINISHED |
| Object | TDataSource |
—
|
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: TDataSource | Statement: [TQuery, canBeLinkedTo, TDataSource]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeLinkedTo Context triple: [TQuery, canBeLinkedTo, TDataSource]
-
A.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
-
B.
canBeEntangledIn
Indicates that one entity is capable of becoming physically or conceptually caught, intertwined, or ensnared within another entity or situation.
-
C.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
D.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
E.
canLeadTo
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:51 p.m.