Triple
T12541641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Bernardo do Campo |
E299852
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Diadema |
E293504
|
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: Diadema | Statement: [São Bernardo do Campo, neighboringMunicipality, Diadema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diadema Context triple: [São Bernardo do Campo, neighboringMunicipality, Diadema]
-
A.
Diadema
chosen
Diadema is an industrial and densely populated municipality in the Greater São Paulo metropolitan area of southeastern Brazil.
-
B.
Arrecife
Arrecife is the capital and main port city of the Spanish island of Lanzarote in the Canary Islands, known for its coastal promenades and volcanic island surroundings.
-
C.
Mandraki
Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
-
D.
Mandraki
Mandraki is the main town and administrative center of the Greek island of Nisyros, known for its traditional architecture and seaside setting.
-
E.
Culebrita
Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546fc620819093335988dbab3256 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557e6d4c81909ed54a039e92a160 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.