Triple
T5796009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SP100 |
E128509
|
entity |
| Predicate | dataContext |
P66573
|
FINISHED |
| Object | market data feeds |
—
|
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: market data feeds | Statement: [SP100, dataContext, market data feeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataContext Context triple: [SP100, dataContext, market data feeds]
-
A.
dataControl
Indicates that one entity has the authority or capability to determine how another entity’s data is collected, used, shared, or managed.
-
B.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
-
C.
dataAccessModel
Indicates the framework or scheme that governs how data can be accessed, including who can retrieve it, under what conditions, and through which mechanisms.
-
D.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
E.
dataManagement
Indicates the relationship in which an entity organizes, stores, maintains, and governs data throughout its lifecycle.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b10def8819080859bc6505405ed |
completed | March 22, 2026, 5:46 p.m. |
Created at: March 22, 2026, 3:51 p.m.