Triple
T17152945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Great Square |
E416266
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object |
Vanha Suurtori
Vanha Suurtori is the historic main square of Turku, Finland, known for its medieval origins and preserved old-town atmosphere.
|
E1252838
|
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: Vanha Suurtori | Statement: [Old Great Square, hasLocalName, Vanha Suurtori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanha Suurtori Context triple: [Old Great Square, hasLocalName, Vanha Suurtori]
-
A.
Emi Koussi
Emi Koussi is a massive extinct volcano in northern Chad that forms the highest peak in the Sahara Desert.
-
B.
Hyrylä
Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
-
C.
Kruununhaka
Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
-
D.
Haapamäki
Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
-
E.
Suurupi
Suurupi is a coastal village in northern Estonia known for its lighthouses and location on the shore of the Gulf of Finland.
- 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: Vanha Suurtori Triple: [Old Great Square, hasLocalName, Vanha Suurtori]
Generated description
Vanha Suurtori is the historic main square of Turku, Finland, known for its medieval origins and preserved old-town atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanha Suurtori Target entity description: Vanha Suurtori is the historic main square of Turku, Finland, known for its medieval origins and preserved old-town atmosphere.
-
A.
Emi Koussi
Emi Koussi is a massive extinct volcano in northern Chad that forms the highest peak in the Sahara Desert.
-
B.
Hyrylä
Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
-
C.
Kruununhaka
Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
-
D.
Haapamäki
Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
-
E.
Suurupi
Suurupi is a coastal village in northern Estonia known for its lighthouses and location on the shore of the Gulf of Finland.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415d19288190beb3c94da2ce8c0e |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01422c0f088190b162c7086bc93585 |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142f274ec819081eb15a3ea0e1b13 |
completed | May 11, 2026, 2:46 a.m. |
Created at: April 10, 2026, 5:36 a.m.