Triple
T10505933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graça Machel |
E247786
|
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.
Redenção
Redenção is a municipality in the state of Ceará, Brazil, known historically as one of the first Brazilian cities to abolish slavery.
-
C.
Chiado
Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
-
D.
Campoalegre
Campoalegre is a municipality and town in southwestern Colombia, located in the Huila Department and known for its agricultural production.
-
E.
Nilópolis
Nilópolis is a densely populated municipality in the state of Rio de Janeiro, Brazil, known for its urban character and strong cultural ties to the Rio de Janeiro metropolitan area.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509a07c908190bf0e3e5d480b306d |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dce30d788190b4a40340b9200b10 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:26 p.m.