Triple
T222435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tráfico |
E4244
|
entity |
| Predicate | derbyType |
P3425
|
FINISHED |
| Object | city derby |
—
|
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: city derby | Statement: [El Tráfico, derbyType, city derby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derbyType Context triple: [El Tráfico, derbyType, city derby]
-
A.
derby
chosen
Indicates a competitive match or contest, typically between closely linked or rival entities (such as teams from the same area or group).
-
B.
partDType
Indicates that one entity is classified as a specific subtype or category (type) of a part in relation to another entity.
-
C.
shellType
Indicates the type or classification of a shell associated with an entity (e.g., its form, structure, or category).
-
D.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
E.
nebulaType
Indicates the specific classification or category of a nebula based on its physical and observational characteristics.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.