Triple
T9836450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aatos Erkko |
E239112
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aatos |
E246697
|
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: Aatos | Statement: [Aatos Erkko, givenName, Aatos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aatos Context triple: [Aatos Erkko, givenName, Aatos]
-
A.
Atoni
Atoni are an indigenous ethnic group of western Timor known for their traditional hierarchical social structure, distinctive architecture, and dryland farming culture.
-
B.
Anat
Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
-
C.
Atle
chosen
Atle is a masculine given name of Scandinavian origin, commonly used in Norway.
-
D.
Aytos
Aytos is a small town in southeastern Bulgaria known as an administrative and economic center within Burgas Province.
-
E.
Aokas
Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb33b07688190b78a70cf535c3efc |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ccb28c8190a580767a57474557 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:33 p.m.