Triple
T7620365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Antwerp |
E172475
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hemiksem |
E442255
|
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: Hemiksem | Statement: [Arrondissement of Antwerp, contains, Hemiksem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hemiksem Context triple: [Arrondissement of Antwerp, contains, Hemiksem]
-
A.
Hemiksem
chosen
Hemiksem is a municipality in the Belgian province of Antwerp, situated along the Rupel River and known for its historical abbey and industrial heritage.
-
B.
Hem
Hem is a suburban commune in northern France located near the city of Lille.
-
C.
Hemkade
Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
-
D.
Hemite
Hemite is a village in Turkey best known as the birthplace of renowned novelist Yaşar Kemal.
-
E.
Chemmis
Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86874d5e48190a07c48f667fb8f6e |
completed | March 28, 2026, 11:47 p.m. |
Created at: March 27, 2026, 3:55 p.m.