Triple
T23127256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gama, Federal District, Brazil |
E577064
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Setor Oeste
Setor Oeste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
|
E1575964
|
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: Setor Oeste | Statement: [Gama, Federal District, Brazil, hasSubdivision, Setor Oeste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setor Oeste Context triple: [Gama, Federal District, Brazil, hasSubdivision, Setor Oeste]
-
A.
Setor Leste
Setor Leste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
-
B.
Zona Leste
Zona Leste is the populous eastern region of São Paulo, Brazil, known for its extensive residential neighborhoods and growing urban infrastructure.
-
C.
Centro Sur
Centro Sur is a province in mainland Equatorial Guinea, known for its inland location and administrative role within the Río Muni region.
-
D.
Zona Norte
Zona Norte is a regional conference within Mexico's professional basketball league system that includes teams such as Soles de Mexicali.
-
E.
Zona Norte
Zona Norte is a major region of Rio de Janeiro known for its densely populated neighborhoods, samba schools, and a mix of industrial, commercial, and residential areas.
- 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: Setor Oeste Triple: [Gama, Federal District, Brazil, hasSubdivision, Setor Oeste]
Generated description
Setor Oeste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Setor Oeste Target entity description: Setor Oeste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
-
A.
Setor Leste
Setor Leste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
-
B.
Zona Leste
Zona Leste is the populous eastern region of São Paulo, Brazil, known for its extensive residential neighborhoods and growing urban infrastructure.
-
C.
Centro Sur
Centro Sur is a province in mainland Equatorial Guinea, known for its inland location and administrative role within the Río Muni region.
-
D.
Zona Norte
Zona Norte is a regional conference within Mexico's professional basketball league system that includes teams such as Soles de Mexicali.
-
E.
Zona Norte
Zona Norte is a major region of Rio de Janeiro known for its densely populated neighborhoods, samba schools, and a mix of industrial, commercial, and residential areas.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e55aa38819092816ffc52e20dbe |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c308583d481908c7a750fd7fba044 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c378c36cc8190b4470dceb62f99ad |
completed | May 19, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c387daf6481909cd5f3cc19636575 |
completed | May 19, 2026, 10:16 a.m. |
Created at: April 17, 2026, 3:59 p.m.