Triple
T5510658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilha do Zeca (Barro) |
E144555
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Barro |
E132999
|
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: Barro | Statement: [Ilha do Zeca (Barro), hasNeighborhood, Barro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barro Context triple: [Ilha do Zeca (Barro), hasNeighborhood, Barro]
-
A.
Barro
chosen
Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Reinhart
Reinhart is a Germanic given name and surname, historically associated with meanings like "brave counsel" and appearing in various European cultural and literary traditions.
-
C.
Robert J. Barro
Robert J. Barro is a prominent American macroeconomist known for his influential work on rational expectations, public debt, and economic growth.
-
D.
Okun
Okun is a surname most notably associated with figures such as economist Arthur Okun, known for Okun's law relating unemployment and economic output.
-
E.
David Romer
David Romer is an influential American macroeconomist known for his work on New Keynesian economics, advanced macroeconomic theory, and widely used graduate-level textbooks.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4cbc2c819091fcbff5f39ceeb4 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c93a248190af0b352bb7a815b8 |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:33 p.m.