Triple
T2241873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graça Machel |
E49414
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Graça |
E108959
|
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: Graça | Statement: [Graça Machel, givenName, Graça]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graça Context triple: [Graça Machel, givenName, Graça]
-
A.
Graça
chosen
Graça is a historic hilltop neighborhood in Lisbon, Portugal, known for its traditional streets, viewpoints over the city, and classic tram connections.
-
B.
Chiado
Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
-
C.
Campoalegre
Campoalegre is a municipality and town in southwestern Colombia, located in the Huila Department and known for its agricultural production.
-
D.
Vitória
Vitória is the capital city of the Brazilian state of Espírito Santo, known for its coastal setting, port activities, and surrounding islands.
-
E.
Laranjeiras
Laranjeiras is a historic colonial-era city in the Brazilian state of Sergipe, known for its preserved architecture and rich Afro-Brazilian cultural traditions.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0be7fb4819081a5f9c46b616bdb |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0eef98819083bede32490cba7e |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.