Triple
T9010056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Naissus |
E215444
|
entity |
| Predicate | place |
P373
|
FINISHED |
| Object | Naissus |
E38674
|
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: Naissus | Statement: [Battle of Naissus, place, Naissus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naissus Context triple: [Battle of Naissus, place, Naissus]
-
A.
Naissus
chosen
Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
-
B.
Lampsacus
Lampsacus was an ancient Greek city on the eastern shore of the Hellespont, known as a center of philosophy and culture in classical antiquity.
-
C.
Philippopolis
Philippopolis is the ancient name of the city now known as Plovdiv in Bulgaria, a historically significant urban center in Thrace that has been ruled by numerous empires over the centuries.
-
D.
Ancyra
Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
-
E.
Charioupolis
Charioupolis is a district of the city of Kalamaria in the Thessaloniki urban area of northern Greece.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c00ae8819090786385a72e8baf |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9a11948190a43f60d0df71b1af |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.