Triple
T924787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcinous |
E19959
|
entity |
| Predicate | country |
P26
|
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: [Alcinous, country, Scheria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheria Context triple: [Alcinous, country, 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.
Leros
Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
-
D.
Terrigal
Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
-
E.
Veneti
The Veneti were an ancient people of northeastern Italy, known from Roman sources for their distinct language, culture, and interactions with neighboring Celtic and Italic groups.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b32ad9f88190b7d477d0a9a9dbc8 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee094c94819093578c949db7ded9 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.