Triple
T2514375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erytheia |
E52776
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Arethusa |
E254063
|
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: Arethusa | Statement: [Erytheia, sibling, Arethusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arethusa Context triple: [Erytheia, sibling, Arethusa]
-
A.
Arethusa
Arethusa is one of the Hesperides, the nymphs of Greek mythology associated with a blissful western garden and its golden apples.
-
B.
Arethusa
chosen
Arethusa is a nymph from Greek mythology best known for her transformation into a freshwater spring to escape the river god Alpheus.
-
C.
Aglaea
Aglaea is a Greek goddess associated with beauty and splendor, one of the three Graces (Charites) in classical mythology.
-
D.
Lychnidus
Lychnidus was an ancient town in the Balkans, near Lake Ohrid, that served as an important stop along the Roman Via Egnatia trade and military route.
-
E.
Amphicleia
Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd20c8ab0819096d6a654039beb39 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b975e6881909b70a1795e8e2776 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.