Triple
T17409675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tielt-Winge |
E423314
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tielt |
—
|
NE NERFINISHED |
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: Tielt | Statement: [Tielt-Winge, hasPart, Tielt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tielt Context triple: [Tielt-Winge, hasPart, Tielt]
-
A.
Tielt
Tielt is a small city in West Flanders, Belgium, known for its regional services, education facilities, and local cultural events.
-
B.
Tielt-Winge
chosen
Tielt-Winge is a municipality in the Flemish Brabant province of Belgium, known for its rural character and scattered villages including Meensel-Kiezegem.
-
C.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
-
D.
Teuge
Teuge is a village in the Netherlands known for its small international airport and skydiving activities.
-
E.
Binnenstad Tiel
Binnenstad Tiel is the historic city center and main commercial district of the Dutch town of Tiel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0990f48190b62d73087ae1a0d7 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.