Triple
T5066387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haabersti |
E114153
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Väike-Õismäe
Väike-Õismäe is a large residential subdistrict in Tallinn, Estonia, known for its distinctive circular layout of apartment blocks surrounding a central pond.
|
E490023
|
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: Väike-Õismäe | Statement: [Haabersti, contains, Väike-Õismäe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Väike-Õismäe Context triple: [Haabersti, contains, Väike-Õismäe]
-
A.
Jõepere
Jõepere is a village in Estonia known as the birthplace of the national writer Friedrich Reinhold Kreutzwald.
-
B.
Suuremõisa
Suuremõisa is a village on the Estonian island of Hiiumaa, known for its historic manor complex and surrounding park.
-
C.
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
D.
Jõgõperä
Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
-
E.
Nõmme
Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
- 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: Väike-Õismäe Triple: [Haabersti, contains, Väike-Õismäe]
Generated description
Väike-Õismäe is a large residential subdistrict in Tallinn, Estonia, known for its distinctive circular layout of apartment blocks surrounding a central pond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Väike-Õismäe Target entity description: Väike-Õismäe is a large residential subdistrict in Tallinn, Estonia, known for its distinctive circular layout of apartment blocks surrounding a central pond.
-
A.
Jõepere
Jõepere is a village in Estonia known as the birthplace of the national writer Friedrich Reinhold Kreutzwald.
-
B.
Suuremõisa
Suuremõisa is a village on the Estonian island of Hiiumaa, known for its historic manor complex and surrounding park.
-
C.
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
D.
Jõgõperä
Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
-
E.
Nõmme
Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749aceac8190817278266308fd64 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49d917081909ead17eed3f8af90 |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea525d9088190b0b655687dd27630 |
completed | March 21, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea594850881909cd683670b63a079 |
completed | March 21, 2026, 2:05 p.m. |
Created at: March 20, 2026, 1:38 p.m.