Triple
T19822940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Pyhäjärvi (Tampere) |
E476243
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Hatanpää
Hatanpää is a district in Tampere, Finland, known for its lakeside location, historic manor area, and popular arboretum park.
|
E1399003
|
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: Hatanpää | Statement: [Lake Pyhäjärvi (Tampere), adjacentTo, Hatanpää]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatanpää Context triple: [Lake Pyhäjärvi (Tampere), adjacentTo, Hatanpää]
-
A.
Haapalainen
Haapalainen is a Finnish surname most notably borne by Eero Haapalainen, a Finnish politician and military leader active in the early 20th century.
-
B.
Pukkila
Pukkila is a small rural municipality in southern Finland, located within the Greater Helsinki region.
-
C.
Hietalahti
Hietalahti is a waterfront district in Helsinki, Finland, known for its harbor, market hall, and flea market.
-
D.
Pirkkala
Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
-
E.
Humppila
Humppila is a small municipality in southern Finland known for its rural landscapes and glassmaking tradition.
- 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: Hatanpää Triple: [Lake Pyhäjärvi (Tampere), adjacentTo, Hatanpää]
Generated description
Hatanpää is a district in Tampere, Finland, known for its lakeside location, historic manor area, and popular arboretum park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatanpää Target entity description: Hatanpää is a district in Tampere, Finland, known for its lakeside location, historic manor area, and popular arboretum park.
-
A.
Haapalainen
Haapalainen is a Finnish surname most notably borne by Eero Haapalainen, a Finnish politician and military leader active in the early 20th century.
-
B.
Pukkila
Pukkila is a small rural municipality in southern Finland, located within the Greater Helsinki region.
-
C.
Hietalahti
Hietalahti is a waterfront district in Helsinki, Finland, known for its harbor, market hall, and flea market.
-
D.
Pirkkala
Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
-
E.
Humppila
Humppila is a small municipality in southern Finland known for its rural landscapes and glassmaking tradition.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6550070c4819099e1f057b9a8849e |
completed | April 20, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43228cc8190a80b7ac4e4ffebca |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d7a80f588190a61ff318a4800e10 |
completed | May 16, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d89ae8308190a8bc35e303976fea |
completed | May 16, 2026, 2:38 a.m. |
Created at: April 10, 2026, 1:50 p.m.