Triple
T26789673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Dithmarschen |
E670479
|
entity |
| Predicate | hasCapitalInRegion |
P204
|
FINISHED |
| Object |
Meldorf
Meldorf is a historic town in the Dithmarschen region of northern Germany, known for its medieval heritage and role as an early regional center.
|
E1752050
|
NE FINISHED |
How this triple was built (3 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: Meldorf | Statement: [Duke of Dithmarschen, hasCapitalInRegion, Meldorf]
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: Meldorf Triple: [Duke of Dithmarschen, hasCapitalInRegion, Meldorf]
Generated description
Meldorf is a historic town in the Dithmarschen region of northern Germany, known for its medieval heritage and role as an early regional center.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalInRegion Context triple: [Duke of Dithmarschen, hasCapitalInRegion, Meldorf]
-
A.
hasCapitalRegionRelation
Indicates a relationship where one entity serves as the capital region or administrative capital area of another entity.
-
B.
hasCapital
chosen
Indicates that a place or political entity has a specific city designated as its capital.
-
C.
containsCapitalOf
Indicates that one location geographically includes the city that serves as the capital of another region or entity.
-
D.
capitalLocatedInRegion
Indicates that a capital city is geographically situated within a specific region.
-
E.
hasCapitalOfRepresentedArea
Indicates that an entity serves as the capital city or administrative center of the geographic or political area it represents.
- F. None of above.
Provenance (6 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1229820f40819099e02b04af0803f3 |
completed | May 23, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_6a122a6dd674819088bf5cf55ac55ec5 |
completed | May 23, 2026, 10:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a122b453e888190a195e8247f682604 |
completed | May 23, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 27, 2026, 4:15 a.m.