Triple
T1811266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambadrome Marquês de Sapucaí |
E40336
|
entity |
| Predicate | paradeLength |
P18065
|
FINISHED |
| Object | approximately 700 meters |
—
|
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: approximately 700 meters | Statement: [Sambadrome Marquês de Sapucaí, paradeLength, approximately 700 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paradeLength Context triple: [Sambadrome Marquês de Sapucaí, paradeLength, approximately 700 meters]
-
A.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
B.
hasParades
Indicates that an entity regularly holds or hosts parades as events or activities.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
majorParadeCity
Indicates that a city is a primary or significant location where a major parade is held.
-
E.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.