Triple
T22681842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moesia |
E560500
|
entity |
| Predicate | importantCity |
P3940
|
FINISHED |
| Object | Oescus |
—
|
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: Oescus | Statement: [Moesia, importantCity, Oescus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oescus Context triple: [Moesia, importantCity, Oescus]
-
A.
Oescus
chosen
Oescus was an important ancient Roman city and military base in the province of Moesia, located near the Danube River in what is now northern Bulgaria.
-
B.
Egino
Egino is a masculine given name of Germanic origin, historically borne by several medieval European nobles and clerics.
-
C.
Arakoon
Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
-
D.
Orciatico
Orciatico is a small village in Tuscany, central Italy, known for its scenic rural landscape and traditional Italian countryside character.
-
E.
Hebrus
Hebrus is the ancient name of the Maritsa River, a major waterway flowing through the Balkans in Southeast Europe.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786113a881908f60285054d7ecfb |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.