Triple
T16325899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sé, São Paulo |
E396416
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Largo São Francisco |
E953555
|
NE 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: Largo São Francisco | Statement: [Sé, São Paulo, hasPart, Largo São Francisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Largo São Francisco Context triple: [Sé, São Paulo, hasPart, Largo São Francisco]
-
A.
Largo São Francisco
chosen
Largo São Francisco is a historic square in downtown São Paulo known for its traditional law school and colonial-era architecture.
-
B.
La Barra
La Barra is the natural volcanic reef that shelters Las Canteras Beach in Las Palmas de Gran Canaria, creating its calm, protected waters.
-
C.
La Barra
La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
-
D.
Barra de São Francisco
Barra de São Francisco is a municipality in the northwest of the Brazilian state of Espírito Santo, known for its granite mining and agricultural activities.
-
E.
Sangre Grande
Sangre Grande is a major town in northeastern Trinidad known as a regional commercial and transportation hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b9dcb88190beb0ca2206729175 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.