Triple
T15570378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beiras |
E374222
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Fundão |
E374149
|
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: Fundão | Statement: [Beiras, hasCity, Fundão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fundão Context triple: [Beiras, hasCity, Fundão]
-
A.
Fundão
chosen
Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
-
B.
Fundão
Fundão is a small coastal municipality in southeastern Brazil known for its beaches and proximity to the state capital, Vitória, in Espírito Santo.
-
C.
Vargem Grande
Vargem Grande is a largely residential and semi-rural neighborhood located in the western part of Rio de Janeiro, Brazil, known for its green areas and proximity to natural reserves.
-
D.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
E.
Guararema
Guararema is a Brazilian municipality in the state of São Paulo, known for its preserved historic center, riverside landscapes, and eco-tourism attractions.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4440a481909699a7eee25a4b24 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.