Triple
T5049683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halius |
E113752
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Scheria |
E102244
|
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: Scheria | Statement: [Halius, residence, Scheria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheria Context triple: [Halius, residence, Scheria]
-
A.
Scheria
chosen
Scheria is the mythical island kingdom of the Phaeacians in Homer’s Odyssey, renowned as the last hospitable stop on Odysseus’s journey home.
-
B.
Outremer
Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
-
C.
Temnos
Temnos was an ancient Greek city of Aeolis in western Asia Minor, known from classical antiquity.
-
D.
Kydonia
Kydonia was an important ancient city on the northwest coast of Crete, known as a significant political and commercial center in Bronze Age Aegean history.
-
E.
Angria
Angria was a historical region that formed one of the main parts of the medieval Duchy of Saxony in what is now northern Germany.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea480fee88190a4302301259f29ba |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.