Triple
T14562948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolonaki |
E341711
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Dexameni Square
Dexameni Square is a small, historic public square in Athens known for its café, open-air cinema, and relaxed neighborhood atmosphere.
|
E1107189
|
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: Dexameni Square | Statement: [Kolonaki, hasLandmark, Dexameni Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dexameni Square Context triple: [Kolonaki, hasLandmark, Dexameni Square]
-
A.
Taumadhi Square
Taumadhi Square is a prominent historic plaza in Bhaktapur, Nepal, renowned for its traditional Newar architecture and iconic multi-tiered temples.
-
B.
King Square
King Square is a public square located in the historic coastal city of Brunswick, Georgia.
-
C.
King Square
King Square was the original name of Soho Square, a historic garden square in London’s Soho district.
-
D.
Princess Square
Princess Square is a central shopping centre in Bracknell, England, featuring a range of retail stores and services.
-
E.
Kálvin Square
Kálvin Square is a prominent central square and major transport hub in Budapest’s Pest side, known for its historic buildings and busy metro and tram connections.
- 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: Dexameni Square Triple: [Kolonaki, hasLandmark, Dexameni Square]
Generated description
Dexameni Square is a small, historic public square in Athens known for its café, open-air cinema, and relaxed neighborhood atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dexameni Square Target entity description: Dexameni Square is a small, historic public square in Athens known for its café, open-air cinema, and relaxed neighborhood atmosphere.
-
A.
Taumadhi Square
Taumadhi Square is a prominent historic plaza in Bhaktapur, Nepal, renowned for its traditional Newar architecture and iconic multi-tiered temples.
-
B.
King Square
King Square is a public square located in the historic coastal city of Brunswick, Georgia.
-
C.
King Square
King Square was the original name of Soho Square, a historic garden square in London’s Soho district.
-
D.
Princess Square
Princess Square is a central shopping centre in Bracknell, England, featuring a range of retail stores and services.
-
E.
Kálvin Square
Kálvin Square is a prominent central square and major transport hub in Budapest’s Pest side, known for its historic buildings and busy metro and tram connections.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38afa8881909c9151b7620949ae |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac485688190a2917251a7c8721a |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8d0701208190917a0a4f5e493586 |
completed | May 8, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8da450108190b1ed174db5f100c4 |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 10, 2026, 1:23 a.m.