Triple
T12227263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galatsi |
E291384
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Alsos Veikou
Alsos Veikou is a large urban park and recreational green space in the Athens suburb of Galatsi, known for its walking paths, sports facilities, and cultural events.
|
E970396
|
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: Alsos Veikou | Statement: [Galatsi, hasLandmark, Alsos Veikou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alsos Veikou Context triple: [Galatsi, hasLandmark, Alsos Veikou]
-
A.
Andrei Sator
Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
-
B.
Alijó
Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
-
C.
Anton Sanko
Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
-
D.
Ál-va-ro
Ál-va-ro is the stressed syllable pattern of the Spanish given name "Álvaro," indicating primary stress on the first syllable.
-
E.
Medeu Pusurmanov
Medeu Pusurmanov was a notable Kazakh public figure and philanthropist after whom the famous Medeu ice rink in Almaty is named.
- 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: Alsos Veikou Triple: [Galatsi, hasLandmark, Alsos Veikou]
Generated description
Alsos Veikou is a large urban park and recreational green space in the Athens suburb of Galatsi, known for its walking paths, sports facilities, and cultural events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alsos Veikou Target entity description: Alsos Veikou is a large urban park and recreational green space in the Athens suburb of Galatsi, known for its walking paths, sports facilities, and cultural events.
-
A.
Andrei Sator
Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
-
B.
Alijó
Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
-
C.
Anton Sanko
Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
-
D.
Ál-va-ro
Ál-va-ro is the stressed syllable pattern of the Spanish given name "Álvaro," indicating primary stress on the first syllable.
-
E.
Medeu Pusurmanov
Medeu Pusurmanov was a notable Kazakh public figure and philanthropist after whom the famous Medeu ice rink in Almaty is named.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aab4a70819099856b990e3a8a1b |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c9276d0819086b5f7712fe8d6e6 |
completed | May 2, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d4889d48190b2dfda8a0978cc72 |
completed | May 2, 2026, 2:42 p.m. |
Created at: April 8, 2026, 9:51 p.m.