Triple
T8703259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuulikki Pietilä |
E206584
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pietilä
Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
|
E756600
|
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: Pietilä | Statement: [Tuulikki Pietilä, familyName, Pietilä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pietilä Context triple: [Tuulikki Pietilä, familyName, Pietilä]
-
A.
Laitila
Laitila is a small town and municipality in southwestern Finland known for its rural landscapes and local food and beverage industries.
-
B.
Penteli
Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
-
C.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
-
D.
Pöytyä
Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
-
E.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
- 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: Pietilä Triple: [Tuulikki Pietilä, familyName, Pietilä]
Generated description
Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pietilä Target entity description: Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
-
A.
Laitila
Laitila is a small town and municipality in southwestern Finland known for its rural landscapes and local food and beverage industries.
-
B.
Penteli
Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
-
C.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
-
D.
Pöytyä
Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
-
E.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b5b44081909e7b33c70fac236d |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5165c7708190988eeacf4789b708 |
completed | April 3, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69cf540bee8081908f9c176a1971742f |
completed | April 3, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54a056408190bd536f79e3ec33be |
completed | April 3, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:34 p.m.