Triple
T20098968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Deilingen
Deilingen is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany.
|
E1410971
|
NE FINISHED |
How this triple was built (4 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: Deilingen | Statement: [Zollernalbkreis, contains, Deilingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deilingen Context triple: [Zollernalbkreis, contains, Deilingen]
-
A.
Drangedal
Drangedal is a rural municipality in southeastern Norway known for its forested landscape, lakes, and traditional farming communities.
-
B.
Dalen
Dalen is a small village in Tokke Municipality, Norway, known as the western terminus of the historic Telemark Canal and a gateway to the surrounding mountainous landscape.
-
C.
Lødingen
Lødingen is a coastal municipality in Nordland county, Norway, located on the island of Hinnøya and known for its fishing, maritime activities, and scenic fjord landscape.
-
D.
Suldal
Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
-
E.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deilingen Triple: [Zollernalbkreis, contains, Deilingen]
Generated description
Deilingen is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deilingen Target entity description: Deilingen is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany.
-
A.
Drangedal
Drangedal is a rural municipality in southeastern Norway known for its forested landscape, lakes, and traditional farming communities.
-
B.
Dalen
Dalen is a small village in Tokke Municipality, Norway, known as the western terminus of the historic Telemark Canal and a gateway to the surrounding mountainous landscape.
-
C.
Lødingen
Lødingen is a coastal municipality in Nordland county, Norway, located on the island of Hinnøya and known for its fishing, maritime activities, and scenic fjord landscape.
-
D.
Suldal
Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
-
E.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
- F. None of above. chosen
Provenance (5 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08270edd6481909230ece4487f93fd |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0827c6a68c8190aed2d531b4fd2030 |
completed | May 16, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08288d98fc8190a146f43a027682f0 |
completed | May 16, 2026, 8:19 a.m. |
Created at: April 11, 2026, 11:26 p.m.