Triple
T14368124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lek |
E356286
|
entity |
| Predicate | hasNameInDutch |
P13254
|
FINISHED |
| Object | Lek |
E15705
|
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: Lek | Statement: [River Lek, hasNameInDutch, Lek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lek Context triple: [River Lek, hasNameInDutch, Lek]
-
A.
Lek
chosen
The Lek is a major distributary branch of the Rhine River in the Netherlands, playing an important role in the country’s inland waterway network and flood management system.
-
B.
Leka
Leka is a small island municipality in Trøndelag county, Norway, known for its distinctive geology and coastal landscape.
-
C.
Leueen
Leueen is a feminine given name most notably associated with the British actress and playwright Leueen MacGrath.
-
D.
Semeka
Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
-
E.
Lewan
Lewan is an archaeological site in Pakistan’s Bannu Basin known for evidence of ancient human settlement and cultural development.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c51bf888190b1776461884c4514 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.