Triple
T9183072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardinxveld-Giessendam |
E220383
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Merwede |
E692732
|
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: Merwede | Statement: [Hardinxveld-Giessendam, locatedOnRiver, Merwede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merwede Context triple: [Hardinxveld-Giessendam, locatedOnRiver, Merwede]
-
A.
Merwede
chosen
Merwede is a major river in the Netherlands that forms part of the lower Rhine–Meuse delta system.
-
B.
MerwedeLingelijn
MerwedeLingelijn is a regional railway line in the Netherlands that connects several towns and cities in the Merwede–Linge area, forming part of the Dutch local rail network.
-
C.
Hoarusib River
The Hoarusib River is an ephemeral river in northwestern Namibia that flows through the remote Kunene Region, carving dramatic gorges and supporting sparse desert wildlife and Himba communities.
-
D.
Eau de Nil
Eau de Nil is a pale, greyish-green color traditionally associated with refined luxury and classic British design.
-
E.
Oum Er-Rbia River
The Oum Er-Rbia River is one of Morocco’s longest and most important rivers, flowing from the Middle Atlas mountains to the Atlantic Ocean and supporting extensive agricultural and hydropower activities along its course.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc2553e548190898434aeda517407 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c1474a08190aa3e3e90326a20d1 |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.