Triple
T19020463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creusa |
E465468
|
entity |
| Predicate | greekName |
P3659
|
FINISHED |
| Object | Κρέουσα |
—
|
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: Κρέουσα | Statement: [Creusa, greekName, Κρέουσα]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Κρέουσα Context triple: [Creusa, greekName, Κρέουσα]
-
A.
Κρέουσα
chosen
Κρέουσα is a figure from Greek mythology, most commonly known as the daughter of King Creon of Corinth and the doomed bride of Jason.
-
B.
Κερκίνη
Η Κερκίνη είναι τεχνητή λίμνη στη βόρεια Ελλάδα, γνωστή για τον πλούσιο υγροτοπικό της χαρακτήρα και τη μεγάλη ποικιλία πουλιών και άγριας ζωής.
-
C.
Naoussa
Naoussa is a picturesque fishing village and popular seaside resort on the Greek island of Paros, known for its charming harbor, whitewashed Cycladic architecture, and vibrant nightlife.
-
D.
Kalamoti
Kalamoti is a traditional medieval village on the Greek island of Chios, known for its distinctive stone architecture and production of mastic.
-
E.
Goumenissa
Goumenissa is a small town in Central Macedonia, Greece, known for its wine production and traditional brass band music.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6de93408190a98dea2319f1af62 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.