Triple
T9968546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Curry |
E195743
|
entity |
| Predicate | citizenship |
P2
|
FINISHED |
| Object | Atlantis |
E118802
|
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: Atlantis | Statement: [Arthur Curry, citizenship, Atlantis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlantis Context triple: [Arthur Curry, citizenship, Atlantis]
-
A.
Atlantis
chosen
Atlantis is a legendary, highly advanced island civilization from ancient Greek mythology, said to have sunk into the sea as a result of divine punishment.
-
B.
Atlantis
Atlantis is a town in South Africa’s Western Cape province, located north of Cape Town and known historically as an industrial and residential area developed during the apartheid era.
-
C.
Atlantis
Atlantis is a legendary Mexican luchador known for his long, successful career in Consejo Mundial de Lucha Libre and his iconic mask and técnico (heroic) persona.
-
D.
Atlantis
Atlantis is a retired NASA Space Shuttle orbiter that flew numerous missions for the United States space program between 1985 and 2011.
-
E.
Atlante
Atlante is a Mexican professional football club known for its historic presence in Liga MX and passionate fan base.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23db701b881909bb986a32df4349b |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.