Triple
T9274954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanemuine Theatre |
E222921
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Vanemuine
Vanemuine is a figure from Estonian mythology, often depicted as a wise old bard or god of music and poetry, symbolizing the nation’s cultural and artistic spirit.
|
E791199
|
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: Vanemuine | Statement: [Vanemuine Theatre, namedAfter, Vanemuine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanemuine Context triple: [Vanemuine Theatre, namedAfter, Vanemuine]
-
A.
Valga
Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
-
B.
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
C.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
-
D.
Vana-Mustamäe
Vana-Mustamäe is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its green areas and quiet, suburban character.
-
E.
Turunmaa
Turunmaa is the Finnish name for the Turku archipelago region in southwestern Finland, known for its numerous islands and coastal landscapes.
- 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: Vanemuine Triple: [Vanemuine Theatre, namedAfter, Vanemuine]
Generated description
Vanemuine is a figure from Estonian mythology, often depicted as a wise old bard or god of music and poetry, symbolizing the nation’s cultural and artistic spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanemuine Target entity description: Vanemuine is a figure from Estonian mythology, often depicted as a wise old bard or god of music and poetry, symbolizing the nation’s cultural and artistic spirit.
-
A.
Valga
Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
-
B.
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
C.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
-
D.
Vana-Mustamäe
Vana-Mustamäe is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its green areas and quiet, suburban character.
-
E.
Turunmaa
Turunmaa is the Finnish name for the Turku archipelago region in southwestern Finland, known for its numerous islands and coastal landscapes.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078a045c8190b2c4d1ec64b932ad |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c743c76c8190b39cfe25c6ab1db2 |
completed | April 4, 2026, 8:09 a.m. |
| NEDg | Description generation | batch_69d0c86e7ac4819091e25484ff0bc128 |
completed | April 4, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c94d90008190af8c646e5051c741 |
completed | April 4, 2026, 8:18 a.m. |
Created at: March 30, 2026, 7:33 p.m.