Triple
T9006394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre Party of Finland |
E215152
|
entity |
| Predicate | hasWomenWing |
P9030
|
FINISHED |
| Object |
Centre Women
Centre Women is the women's wing of Finland's Centre Party, promoting gender equality and representing women's interests within the party and Finnish politics.
|
E770740
|
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: Centre Women | Statement: [Centre Party of Finland, hasWomenWing, Centre Women]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre Women Context triple: [Centre Party of Finland, hasWomenWing, Centre Women]
-
A.
Centre Women
Centre Women is the women's wing of Sweden's Centre Party, working to promote gender equality and represent women’s interests within the party and broader society.
-
B.
Centre
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
-
C.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
D.
Mitte
Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
-
E.
Mitte
Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
- 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: Centre Women Triple: [Centre Party of Finland, hasWomenWing, Centre Women]
Generated description
Centre Women is the women's wing of Finland's Centre Party, promoting gender equality and representing women's interests within the party and Finnish politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre Women Target entity description: Centre Women is the women's wing of Finland's Centre Party, promoting gender equality and representing women's interests within the party and Finnish politics.
-
A.
Centre Women
Centre Women is the women's wing of Sweden's Centre Party, working to promote gender equality and represent women’s interests within the party and broader society.
-
B.
Centre
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
-
C.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
D.
Mitte
Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
-
E.
Mitte
Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:05 p.m.