Triple
T7323465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halle, Belgium |
E168808
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Ninove |
E415802
|
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: Ninove | Statement: [Halle, Belgium, nearbyCity, Ninove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ninove Context triple: [Halle, Belgium, nearbyCity, Ninove]
-
A.
Ninove
chosen
Ninove is a city in the Belgian province of East Flanders, known for its historical center and past role in major cycling events.
-
B.
Neubauer
Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
-
C.
Ivanoe
Ivanoe is an Italian masculine given name most notably borne by the 20th-century politician Ivanoe Bonomi, who served as Prime Minister of Italy.
-
D.
Olitski
Olitski is the surname of Jules Olitski, a prominent Russian-American abstract painter associated with Color Field painting and the Washington Color School.
-
E.
Bonnanaro
Bonnanaro is a small municipality in northern Sardinia, Italy, known for its archaeological sites and traditional rural character.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f046b93c8190a80dd48ee409ec5d |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0609dc81909f298d3963fc88af |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:03 p.m.