Triple
T9291865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tériade |
E223536
|
entity |
| Predicate | museumLocation |
P3831
|
FINISHED |
| Object |
Varia
Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
|
E790729
|
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: Varia | Statement: [Tériade, museumLocation, Varia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varia Context triple: [Tériade, museumLocation, Varia]
-
A.
Vara
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
-
B.
Varekai
Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
-
C.
Variyasi
Variyasi is a figure in Hindu tradition known primarily as the daughter of Nanda, the foster father of Lord Krishna.
-
D.
Varig
Varig was Brazil’s former flagship airline, once the country’s largest carrier and a major international operator throughout much of the 20th century.
-
E.
Vasi-vari
Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
- 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: Varia Triple: [Tériade, museumLocation, Varia]
Generated description
Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varia Target entity description: Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
-
A.
Vara
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
-
B.
Varekai
Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
-
C.
Variyasi
Variyasi is a figure in Hindu tradition known primarily as the daughter of Nanda, the foster father of Lord Krishna.
-
D.
Varig
Varig was Brazil’s former flagship airline, once the country’s largest carrier and a major international operator throughout much of the 20th century.
-
E.
Vasi-vari
Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0866ff608190a07afac4afd0ec09 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2381e2c8190acbecf97dea1200c |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b3a2b6f481908b0528f6fa67535b |
completed | April 4, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b7944adc819080b3a90878dd7203 |
completed | April 4, 2026, 7:02 a.m. |
Created at: March 30, 2026, 7:35 p.m.