Triple
T17199128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dokkumer Ee |
E417430
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | fy:Dokkumer Ie |
E417430
|
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: fy:Dokkumer Ie | Statement: [Dokkumer Ee, hasNameInLanguage, fy:Dokkumer Ie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fy:Dokkumer Ie Context triple: [Dokkumer Ee, hasNameInLanguage, fy:Dokkumer Ie]
-
A.
Dokkumer Ee
chosen
Dokkumer Ee is a canalized waterway in the northern Netherlands that connects the town of Dokkum to the wider Frisian inland water network.
-
B.
Dokk1
Dokk1 is a large modern public library and cultural center on Aarhus’s waterfront, known as one of the city’s key architectural and civic landmarks.
-
C.
Dok
Dok is an ancient location associated with the Hasmonean leader Simon Thassi, known primarily as the site of his assassination.
-
D.
Dokki
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
E.
DOKOM
DOKOM is the radio callsign used by Flyadeal, a Saudi low-cost airline based in Jeddah.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daca29081909837494d8d516634 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd7ef048190b0828ec6ea0e119c |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.