Triple
T18524878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcidice |
E452688
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Tyro |
—
|
NE NERFINISHED |
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: Tyro | Statement: [Alcidice, motherOf, Tyro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyro Context triple: [Alcidice, motherOf, Tyro]
-
A.
Tyro
chosen
Tyro is a figure from Greek mythology, known as the mother of the twins Pelias and Neleus by the god Poseidon.
-
B.
Tyros
Tyros is a coastal town in the traditional Tsakonian region of the eastern Peloponnese in Greece, known for its beaches and local maritime heritage.
-
C.
Tyras
Tyras was an ancient Greek colony and trading port on the northern coast of the Black Sea, near the mouth of the Dniester River.
-
D.
Tiron
Tiron was a medieval monastic site in France that became the motherhouse of the Tironensian Order, an influential Benedictine reform movement.
-
E.
Tryano
Tryano is a luxury department store in Abu Dhabi known for its curated selection of high-end fashion, beauty, and lifestyle brands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533914e808190a46638de1ce2d57b |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.