Triple
T6387278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester |
E143731
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object | Deva Victrix |
E162883
|
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: Deva Victrix | Statement: [Chester, hasHistoricalName, Deva Victrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deva Victrix Context triple: [Chester, hasHistoricalName, Deva Victrix]
-
A.
Deva Victrix
chosen
Deva Victrix was the major Roman legionary fortress and settlement that later developed into the modern English city of Chester.
-
B.
Venus Victrix
Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
-
C.
Romana
Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
-
D.
Romana
Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
-
E.
Durocortorum
Durocortorum was an important Roman city in northeastern Gaul, known today as Reims in France.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06869dfb88190aeb84c6c61414888 |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6387dc8888190ba63efcc9aff41b2 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:34 p.m.