Triple
T1745185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constantina |
E38320
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Sirmium |
E36825
|
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: Sirmium | Statement: [Constantina, associatedWith, Sirmium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirmium Context triple: [Constantina, associatedWith, Sirmium]
-
A.
Sirmium
chosen
Sirmium was an important ancient Roman city in the province of Pannonia, serving as a major military, administrative, and imperial center in the late Roman Empire.
-
B.
Singidunum
Singidunum was the ancient Roman and earlier Celtic settlement that occupied the site of present-day Belgrade, Serbia.
-
C.
Hadrianopolis
Hadrianopolis was an important ancient Roman and Byzantine city in Thrace, later known as Edirne in modern-day Turkey.
-
D.
Salona
Salona was an important ancient Roman city on the Adriatic coast, serving as the chief urban center of the province of Dalmatia in present-day Croatia.
-
E.
Aquincum
Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63e93f3481909f61d581f7a5bdfa |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0de0ff08190bb7758e3ba32de80 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.