Triple
T17134598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninove |
E415802
|
entity |
| Predicate | hasPoliticalMajority |
P20469
|
FINISHED |
| Object | Vooruit |
E142652
|
NE FINISHED |
How this triple was built (2 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: Vooruit | Statement: [Ninove, hasPoliticalMajority, Vooruit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vooruit Context triple: [Ninove, hasPoliticalMajority, Vooruit]
-
A.
Vooruit
chosen
Vooruit is a Flemish social-democratic political party in Belgium.
-
B.
Forward!
Forward! is the English title of the 1972 Italian political drama film "Avanti!".
-
C.
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
D.
Forward
Forward was the central campaign slogan used by Barack Obama during his 2012 U.S. presidential re-election bid, emphasizing progress and continuation of his policies.
-
E.
Voorschoten
Voorschoten is a town and municipality in the western Netherlands, situated between The Hague and Leiden and known for its residential character and historic village center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02dca8881908efd73741397a207 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014150d63081908a5614f85694e57a |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.