Triple
T16381253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest district |
E397811
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object | Lippetal |
E992302
|
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: Lippetal | Statement: [Soest district, containsAdministrativeTerritorialEntity, Lippetal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lippetal Context triple: [Soest district, containsAdministrativeTerritorialEntity, Lippetal]
-
A.
Lippetal
chosen
Lippetal is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location along the river Lippe.
-
B.
Larimore
Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
-
C.
Belvidere
Belvidere is a small historic town in northwestern New Jersey that serves as the administrative and cultural center of Warren County.
-
D.
Belvidere
Belvidere is a small industrial city in northern Illinois known historically for its automotive manufacturing and location along the Kishwaukee River.
-
E.
Supaul
Supaul is a town in the Indian state of Bihar known primarily as an administrative and commercial center for the surrounding region.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035689ef08190ba980a359498ca56 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.