Triple
T782083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epirus |
E16518
|
entity |
| Predicate | hasArchaeologicalSite |
P1098
|
FINISHED |
| Object |
Nikopolis
Nikopolis is an ancient city in Epirus, Greece, founded by the Roman emperor Augustus and known today for its extensive archaeological remains.
|
E107375
|
NE FINISHED |
How this triple was built (4 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: Nikopolis | Statement: [Epirus, hasArchaeologicalSite, Nikopolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikopolis Context triple: [Epirus, hasArchaeologicalSite, Nikopolis]
-
A.
Naissus
Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
-
B.
Pherae
Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
-
C.
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.
-
D.
Panticapaeum
Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
-
E.
Pella
Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nikopolis Triple: [Epirus, hasArchaeologicalSite, Nikopolis]
Generated description
Nikopolis is an ancient city in Epirus, Greece, founded by the Roman emperor Augustus and known today for its extensive archaeological remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikopolis Target entity description: Nikopolis is an ancient city in Epirus, Greece, founded by the Roman emperor Augustus and known today for its extensive archaeological remains.
-
A.
Naissus
Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
-
B.
Pherae
Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
-
C.
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.
-
D.
Panticapaeum
Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
-
E.
Pella
Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
- F. None of above. chosen
Provenance (5 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c70e6eb48190b019759cd656e629 |
completed | March 4, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_69a7c896d1c481909493a1bc4e6266e3 |
completed | March 4, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c918ebbc81908ad58bb8045543e6 |
completed | March 4, 2026, 5:54 a.m. |
Created at: March 1, 2026, 7:37 p.m.