Triple
T11132329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekeren |
E263314
|
entity |
| Predicate | hasNeighbouringDistrict |
P17964
|
FINISHED |
| Object | Merksem |
E172479
|
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: Merksem | Statement: [Ekeren, hasNeighbouringDistrict, Merksem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merksem Context triple: [Ekeren, hasNeighbouringDistrict, Merksem]
-
A.
Merksem
chosen
Merksem is a northern district of the Belgian city of Antwerp, known as a predominantly residential area with local commerce and sports facilities.
-
B.
Mereč
Mereč is a locality whose name appears in various transliterated forms, including "Merecz" and "Mereč," reflecting linguistic and historical variations in the region.
-
C.
Saksun
Saksun is a small, picturesque village in the Faroe Islands known for its turf-roofed houses, surrounding mountains, and a lagoon formed from a natural harbor.
-
D.
Merkens
Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
-
E.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441e6b72881908f8288e99df0cb7c |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:28 p.m.