Triple
T1278333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Vía |
E27265
|
entity |
| Predicate | majorFunction |
P18495
|
FINISHED |
| Object | commercial hub |
—
|
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: commercial hub | Statement: [Gran Vía, majorFunction, commercial hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorFunction Context triple: [Gran Vía, majorFunction, commercial hub]
-
A.
mainFunctions
chosen
Indicates that the subject serves as the primary or central functional component or role for the object.
-
B.
majorOperation
Indicates that one entity performs or undergoes a significant, large-scale, or primary operation or procedure involving another entity or context.
-
C.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
-
D.
majorSect
Indicates that one religious sect is the primary, dominant, or most influential branch within a broader religious tradition or context.
-
E.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.