Triple
T14368238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afonso Costa |
E356289
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Seia |
E374150
|
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: Seia | Statement: [Afonso Costa, placeOfBirth, Seia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seia Context triple: [Afonso Costa, placeOfBirth, Seia]
-
A.
Seia
chosen
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
-
B.
Seira
Seira is one of the islands in Indonesia’s remote Tanimbar archipelago in the Maluku province.
-
C.
Kaiya
Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
-
D.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
E.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550e677c8190837c3b9ccb64f0cd |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.