Triple
T2720405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of São Paulo |
E60066
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Araras
Araras is a municipality in the interior of the Brazilian state of São Paulo, known for its agricultural economy and regional industrial activities.
|
E293523
|
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: Araras | Statement: [State of São Paulo, hasCity, Araras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Araras Context triple: [State of São Paulo, hasCity, Araras]
-
A.
Jagjaguwar
Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
-
B.
Vale do Lobo
Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
-
C.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
D.
Atripé
Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
-
E.
Pucikwar
Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
- 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: Araras Triple: [State of São Paulo, hasCity, Araras]
Generated description
Araras is a municipality in the interior of the Brazilian state of São Paulo, known for its agricultural economy and regional industrial activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Araras Target entity description: Araras is a municipality in the interior of the Brazilian state of São Paulo, known for its agricultural economy and regional industrial activities.
-
A.
Jagjaguwar
Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
-
B.
Vale do Lobo
Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
-
C.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
D.
Atripé
Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
-
E.
Pucikwar
Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6914f70819099482893d026f34b |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb726182081909570e4cb7a364e4d |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb78f9d08819087d6f31fe1e4e61c |
completed | March 10, 2026, 6:17 a.m. |
Created at: March 6, 2026, 9:55 p.m.