Triple
T18849457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonial Garden |
E461001
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Jardim Colonial |
—
|
NE NERFINISHED |
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: Jardim Colonial | Statement: [Colonial Garden, hasAlternativeName, Jardim Colonial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jardim Colonial Context triple: [Colonial Garden, hasAlternativeName, Jardim Colonial]
-
A.
Jardim Colonial
chosen
Jardim Colonial is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
-
B.
Jardim Colonial
Jardim Colonial is the former name of Lisbon’s Tropical Botanical Garden, a historic green space known for its diverse collection of tropical and subtropical plant species.
-
C.
Jardim Santa Cecília
Jardim Santa Cecília is a neighborhood located within the municipality of Barueri in the state of São Paulo, Brazil.
-
D.
Jardim São Paulo
Jardim São Paulo is a residential neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
-
E.
Jardim da Luz
Jardim da Luz is a historic public garden and urban park in São Paulo, Brazil, known for its landscaped grounds, sculptures, and cultural significance in the city center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8f1abdc819081638ed384da191e |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.