Triple
T5427868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arki |
E121405
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Arkioi |
E121405
|
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: Arkioi | Statement: [Arki, hasAlternativeName, Arkioi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkioi Context triple: [Arki, hasAlternativeName, Arkioi]
-
A.
Ark
Ark is a hard science fiction novel by Stephen Baxter that explores humanity's desperate attempts to escape a flooded Earth via interstellar ark ships.
-
B.
Ark
Ark was one of the two ships that carried the first group of English settlers to establish the Maryland colony in North America in the 17th century.
-
C.
Ark
Ark is the massive, generation-starship habitat that serves as the primary setting of the 1970s science fiction television series "The Starlost."
-
D.
Arki
chosen
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
-
E.
Arkesini
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd881998308190a071af0fe44997bc |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac2e1e88190a624ba277eca3d03 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.