Triple
T12359107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luz district |
E294686
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Santa Ifigênia
Santa Ifigênia is a historic central neighborhood in São Paulo, Brazil, known for its bustling electronics commerce and proximity to major downtown landmarks.
|
E979184
|
NE FINISHED |
How this triple was built (4 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: Santa Ifigênia | Statement: [Luz district, adjacentTo, Santa Ifigênia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Ifigênia Context triple: [Luz district, adjacentTo, Santa Ifigênia]
-
A.
Santa Tereza
Santa Tereza is a small wine-producing town in Brazil’s Serra Gaúcha region, known for its Italian heritage and scenic mountain landscapes.
-
B.
Santa Úrsula
Santa Úrsula is a coastal municipality on the northern side of Tenerife in Spain’s Canary Islands, known for its steep Atlantic cliffs, vineyards, and residential tourism.
-
C.
Santa Úrsula
Santa Úrsula is a neighborhood in Mexico City best known for hosting the iconic Estadio Azteca football stadium.
-
D.
Saint Isabel
Saint Isabel is a Christian saint traditionally associated with charity, humility, and service to the poor, venerated in various regions that bear her name.
-
E.
Rafaela
Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Santa Ifigênia Triple: [Luz district, adjacentTo, Santa Ifigênia]
Generated description
Santa Ifigênia is a historic central neighborhood in São Paulo, Brazil, known for its bustling electronics commerce and proximity to major downtown landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Ifigênia Target entity description: Santa Ifigênia is a historic central neighborhood in São Paulo, Brazil, known for its bustling electronics commerce and proximity to major downtown landmarks.
-
A.
Santa Tereza
Santa Tereza is a small wine-producing town in Brazil’s Serra Gaúcha region, known for its Italian heritage and scenic mountain landscapes.
-
B.
Santa Úrsula
Santa Úrsula is a coastal municipality on the northern side of Tenerife in Spain’s Canary Islands, known for its steep Atlantic cliffs, vineyards, and residential tourism.
-
C.
Santa Úrsula
Santa Úrsula is a neighborhood in Mexico City best known for hosting the iconic Estadio Azteca football stadium.
-
D.
Saint Isabel
Saint Isabel is a Christian saint traditionally associated with charity, humility, and service to the poor, venerated in various regions that bear her name.
-
E.
Rafaela
Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
- F. None of above. chosen
Provenance (5 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f90201481909359416b8b9f7871 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab771448190b7f76e424ec0b4b5 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62eb8b8d081908508a06d495f995f |
completed | May 2, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62f55324081908b855f7fbca7082b |
completed | May 2, 2026, 5:07 p.m. |
Created at: April 8, 2026, 9:54 p.m.