Triple
T6060310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamanguape |
E135016
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | João Pessoa |
E139248
|
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: João Pessoa | Statement: [Mamanguape, locatedNear, João Pessoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Pessoa Context triple: [Mamanguape, locatedNear, João Pessoa]
-
A.
João Pessoa
chosen
João Pessoa is the capital and largest city of the Brazilian state of Paraíba, known for its historic colonial architecture and easternmost location in the Americas.
-
B.
Campina Grande
Campina Grande is a major city in northeastern Brazil known for its technology and education hubs and for hosting one of the world’s largest São João (June) festivals.
-
C.
Recife
Recife is a major coastal city in northeastern Brazil known for its historic colonial architecture, extensive waterways, and role as an important cultural and economic center.
-
D.
Porto-Novo
Porto-Novo is the official capital city of Benin, known for its colonial architecture and role as a political and cultural center in West Africa.
-
E.
Maceió
Maceió is a coastal city in northeastern Brazil known for its white-sand beaches, turquoise waters, and vibrant tourism industry.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0571e479c8190bec0e1439b4cf68f |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ccee748190a0e292bc18b552f8 |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:10 p.m.