Triple
T1169958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife |
E24891
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Várzea |
E203518
|
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: Várzea | Statement: [Recife, hasPart, Várzea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Várzea Context triple: [Recife, hasPart, Várzea]
-
A.
Gilão River
The Gilão River is a waterway in Portugal’s Algarve region that flows through the historic town of Tavira before reaching the Atlantic Ocean.
-
B.
Acre River
The Acre River is a major tributary of the Purus River in western Amazonia, flowing through Peru, Bolivia, and Brazil and serving as an important waterway for the surrounding rainforest regions.
-
C.
Taquari River
The Taquari River is a significant waterway in central-western Brazil that flows through the Pantanal wetlands before joining the Paraguay River.
-
D.
Beberibe River
chosen
The Beberibe River is a waterway in northeastern Brazil that flows through the city of Recife, contributing to its estuarine landscape and urban geography.
-
E.
Paranaíba River
The Paranaíba River is a major river in central Brazil that forms part of the upper Paraná River basin and serves as an important waterway for agriculture, hydroelectric power, and regional ecosystems.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1a06d7c8190b6c38ff6d18a4542 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 1, 2026, 7:45 p.m.