Triple
T22872158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatriz Milhazes |
E567225
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Meu Limão |
E567226
|
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: Meu Limão | Statement: [Beatriz Milhazes, notableWork, Meu Limão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meu Limão Context triple: [Beatriz Milhazes, notableWork, Meu Limão]
-
A.
Meu Limão
chosen
Meu Limão is a vibrant, abstract artwork by Brazilian artist Beatriz Milhazes, characterized by her signature use of bold colors, layered patterns, and decorative motifs.
-
B.
Penedo da Saudade
Penedo da Saudade is a scenic viewpoint and romantic garden in Coimbra, Portugal, known for its panoramic city views and stone plaques engraved with poems and dedications.
-
C.
Laranjinha
Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
-
D.
Rua da Saudade
Rua da Saudade is a historic, picturesque street in Lisbon’s old quarter, known for its traditional charm and views over the city.
-
E.
Pingo Doce
Pingo Doce is a major Portuguese supermarket chain known for its nationwide network of grocery stores and competitive pricing.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae98804c8190bb1102516426a0ba |
completed | May 19, 2026, 12:28 a.m. |
Created at: April 17, 2026, 3:38 p.m.