Triple
T4201237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dender |
E86069
|
entity |
| Predicate | flowsThrough |
P225
|
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: [Dender, flowsThrough, Ninove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ninove Context triple: [Dender, flowsThrough, 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.
Silvio
Silvio is a masculine given name of Latin origin, commonly used in Italian- and Spanish-speaking countries and derived from the word for "forest" or "woods."
-
C.
Vali
Vali is a powerful vanara king and warrior in the Hindu epic Ramayana, known for his immense strength and his fateful conflict with his brother Sugriva and Lord Rama.
-
D.
Nayib
Nayib is the given name of Nayib Bukele, the President of El Salvador known for his controversial, tech-focused and hardline governance style.
-
E.
Luc Strehaiano
Luc Strehaiano is a French politician known for serving as the long-time mayor of the suburban Paris commune Soisy-sous-Montmorency.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a14eda88190aaca14644c3e041a |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:49 p.m.