Triple
T22309035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Tietê |
E551463
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Tietê
Tietê is a municipality in the state of São Paulo, Brazil, known for its historical development along the Tietê River.
|
E1535612
|
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: Tietê | Statement: [Rio Tietê, flowsThrough, Tietê]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tietê Context triple: [Rio Tietê, flowsThrough, Tietê]
-
A.
Itapeva
Itapeva is a municipality in the state of São Paulo, Brazil, known for its regional agricultural economy and educational institutions.
-
B.
Itapira
Itapira is a municipality in southeastern Brazil known for its agricultural activities and location within the interior of the state of São Paulo.
-
C.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
-
D.
Ibiraçu
Ibiraçu is a small municipality in southeastern Brazil known for its rural landscapes and agricultural activities within the state of Espírito Santo.
-
E.
Juruti
Juruti is a municipality in the Brazilian state of Pará, known for its location along the Amazon River and significant bauxite mining activities.
- 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: Tietê Triple: [Rio Tietê, flowsThrough, Tietê]
Generated description
Tietê is a municipality in the state of São Paulo, Brazil, known for its historical development along the Tietê River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tietê Target entity description: Tietê is a municipality in the state of São Paulo, Brazil, known for its historical development along the Tietê River.
-
A.
Itapeva
Itapeva is a municipality in the state of São Paulo, Brazil, known for its regional agricultural economy and educational institutions.
-
B.
Itapira
Itapira is a municipality in southeastern Brazil known for its agricultural activities and location within the interior of the state of São Paulo.
-
C.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
-
D.
Ibiraçu
Ibiraçu is a small municipality in southeastern Brazil known for its rural landscapes and agricultural activities within the state of Espírito Santo.
-
E.
Juruti
Juruti is a municipality in the Brazilian state of Pará, known for its location along the Amazon River and significant bauxite mining activities.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574c8a248190bf5eef5be78381fd |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0cceba881908102d7555c6dbcdc |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af19eaf38819098bc371db9d65460 |
completed | May 18, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af2a4aaa481909e7e0ab8a4fbef1d |
completed | May 18, 2026, 11:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.