Triple
T5066342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustamäe |
E114152
|
entity |
| Predicate | hasSubdistrict |
P747
|
FINISHED |
| Object |
Sääse
Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
|
E490013
|
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: Sääse | Statement: [Mustamäe, hasSubdistrict, Sääse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sääse Context triple: [Mustamäe, hasSubdistrict, Sääse]
-
A.
Sestigers
The Sestigers were a group of innovative Afrikaans writers of the 1960s who challenged conservative norms in South African literature and engaged critically with apartheid-era society.
-
B.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
C.
Seille
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
-
D.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
E.
Sõru
Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
- 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: Sääse Triple: [Mustamäe, hasSubdistrict, Sääse]
Generated description
Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sääse Target entity description: Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
-
A.
Sestigers
The Sestigers were a group of innovative Afrikaans writers of the 1960s who challenged conservative norms in South African literature and engaged critically with apartheid-era society.
-
B.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
C.
Seille
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
-
D.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
E.
Sõru
Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
- 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.