Triple
T2656677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senne |
E54627
|
entity |
| Predicate | DutchName |
P13254
|
FINISHED |
| Object | Zenne |
E152483
|
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: Zenne | Statement: [Senne, DutchName, Zenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenne Context triple: [Senne, DutchName, Zenne]
-
A.
Zenne
chosen
The Zenne is a river in central Belgium that flows through Brussels and several nearby towns before joining the Dyle.
-
B.
Nembe
Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
-
C.
Nansio
Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
-
D.
Bole
Bole is a West Chadic language spoken primarily in northeastern Nigeria, known for its complex tonal system and role as a regional lingua franca among Bole-speaking communities.
-
E.
Zau
Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94ae2e881909399b3d58159aa29 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa054d4d0819095084088fd54a63a |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.