Triple
T7652914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuppertal |
E173299
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Charioupolis
Charioupolis is a district of the city of Kalamaria in the Thessaloniki urban area of northern Greece.
|
E678907
|
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: Charioupolis | Statement: [Wuppertal, twinTown, Charioupolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charioupolis Context triple: [Wuppertal, twinTown, Charioupolis]
-
A.
Stagirus
Stagirus is a modern variant of the name Stagira, the ancient Greek city best known as the birthplace of the philosopher Aristotle.
-
B.
Areopoli
Areopoli is a historic stone-built town in the Mani region of the Peloponnese in southern Greece, known for its traditional architecture and role in the Greek War of Independence.
-
C.
Pella
Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
-
D.
Pella
Pella is a small lakeside town in northern Italy, known for its scenic setting on the shores of Lake Orta and views toward the island of San Giulio.
-
E.
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.
- 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: Charioupolis Triple: [Wuppertal, twinTown, Charioupolis]
Generated description
Charioupolis is a district of the city of Kalamaria in the Thessaloniki urban area of northern Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charioupolis Target entity description: Charioupolis is a district of the city of Kalamaria in the Thessaloniki urban area of northern Greece.
-
A.
Stagirus
Stagirus is a modern variant of the name Stagira, the ancient Greek city best known as the birthplace of the philosopher Aristotle.
-
B.
Areopoli
Areopoli is a historic stone-built town in the Mani region of the Peloponnese in southern Greece, known for its traditional architecture and role in the Greek War of Independence.
-
C.
Pella
Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
-
D.
Pella
Pella is a small lakeside town in northern Italy, known for its scenic setting on the shores of Lake Orta and views toward the island of San Giulio.
-
E.
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.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7018c34a88190be6089a9105bd4b0 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89af47b9c819087d42f1b01c413fe |
completed | March 29, 2026, 3:22 a.m. |
| NEDg | Description generation | batch_69c89bb9f1a8819097475a35328c6875 |
completed | March 29, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89c20a9a4819087d678e40f5d0876 |
completed | March 29, 2026, 3:27 a.m. |
Created at: March 27, 2026, 3:58 p.m.