Triple
T11707936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assos |
E278295
|
entity |
| Predicate | ancientNameInGreek |
P20952
|
FINISHED |
| Object | Ἄσσος |
E278295
|
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: Ἄσσος | Statement: [Assos, ancientNameInGreek, Ἄσσος]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ἄσσος Context triple: [Assos, ancientNameInGreek, Ἄσσος]
-
A.
Aegae
Aegae was the ancient royal city of Macedon and the original seat of the Argead dynasty, known for its palace complex and royal tombs.
-
B.
Evrostina
Evrostina is a village in the Corinthia region of the Peloponnese in Greece, known for its mountainous landscape and traditional character.
-
C.
Assos
chosen
Assos was an ancient Greek city in the Troad region of Asia Minor, known as a philosophical center where figures like Aristotle once lived and taught.
-
D.
Assos
Assos is a picturesque coastal village on the Greek island of Kefalonia, known for its colorful houses, Venetian fortress, and scenic harbor.
-
E.
Strymón
Strymón is the ancient name of the Struma River, a significant waterway in the Balkans historically important to Greek and Thracian regions.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49de0388190a063739426bf90e8 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef836388bc8190827ce4af609d8b61 |
completed | April 27, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:40 p.m.