Triple
T8377953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyrrhachium |
E197621
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Dyrrhachion |
E197621
|
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: Dyrrhachion | Statement: [Dyrrhachium, hasNameVariant, Dyrrhachion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyrrhachion Context triple: [Dyrrhachium, hasNameVariant, Dyrrhachion]
-
A.
Dyrrhachium
chosen
Dyrrhachium was an important ancient Greek and later Roman port city on the Adriatic coast, in the area of modern-day Durrës, Albania.
-
B.
Epidamnos
Epidamnos was an ancient Greek colony on the Adriatic coast, located where the modern Albanian city of Durrës now stands.
-
C.
Daulida
Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
-
D.
Ambracia
Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
-
E.
Litochoro
Litochoro is a Greek town situated at the foot of Mount Olympus, known as a popular base for hiking and exploring the surrounding national park.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c229708190b813f5e7e44e10d4 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d14baf88190bc260efda7d0fc0d |
completed | April 2, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:02 p.m.