Triple
T18322605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lessines |
E438919
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Dender |
—
|
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: Dender | Statement: [Lessines, hasRiver, Dender]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dender Context triple: [Lessines, hasRiver, Dender]
-
A.
Dender
chosen
The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
-
B.
Dendera
Dendera is an ancient Egyptian town best known for the well-preserved Temple of Hathor and its rich archaeological remains along the Nile.
-
C.
Gourna
Gourna is a small coastal settlement on the Greek island of Leros, known for its quiet beaches and traditional island character.
-
D.
Kalabsha
Kalabsha is an ancient Nubian temple site in southern Egypt, renowned for its well-preserved sandstone temple dedicated to the god Mandulis and relocated during the construction of the Aswan High Dam.
-
E.
Akhet
Akhet is the ancient Egyptian season of the Nile’s annual inundation, marking the flooding and renewal of the land.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa886508190902ffc26b30731ae |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.