Triple
T8641643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarkedal |
E204664
|
entity |
| Predicate | hasSubMunicipality |
P747
|
FINISHED |
| Object | Etikhove |
E747373
|
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: Etikhove | Statement: [Maarkedal, hasSubMunicipality, Etikhove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etikhove Context triple: [Maarkedal, hasSubMunicipality, Etikhove]
-
A.
Etikhove
chosen
Etikhove is a village in East Flanders, Belgium, now part of the municipality of Maarkedal and known for its rural landscape and traditional Flemish character.
-
B.
Berdichev
Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
-
C.
Radomyshl
Radomyshl is a historic town in northern Ukraine, known for its Jewish heritage and role within the Zhytomyr Oblast region.
-
D.
Horokhiv
Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
-
E.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccb10f0881908db334cd090d3231 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:28 p.m.