Triple
T10901384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aulum-Haderup Municipality |
E257449
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Aulum |
E891737
|
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: Aulum | Statement: [Aulum-Haderup Municipality, administrativeCentre, Aulum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aulum Context triple: [Aulum-Haderup Municipality, administrativeCentre, Aulum]
-
A.
Aulum
chosen
Aulum is a small Danish town in the Central Jutland region known for its local industry and role as a regional service and transport hub.
-
B.
Aulnat
Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
-
C.
Daulian
Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
-
D.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
E.
Aurai
Aurai are minor wind nymphs in Greek mythology associated with breezes and the lower atmosphere.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a3e83c81908dc48c0fb7935da7 |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23baecb008190b74bcbad1db61a91 |
completed | April 17, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:22 p.m.