Triple
T23124870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Freigericht
Freigericht is a municipality in the state of Hesse in central Germany, located near the city of Frankfurt am Main.
|
E1570974
|
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: Freigericht | Statement: [Main-Kinzig-Kreis, contains, Freigericht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freigericht Context triple: [Main-Kinzig-Kreis, contains, Freigericht]
-
A.
Frieder
Frieder is a surname most notably associated with Bill Frieder, an American college basketball coach who led successful programs at the University of Michigan and Arizona State University.
-
B.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
C.
Helmbrechts
Helmbrechts is a small town in northern Bavaria, Germany, known for its textile industry and location in the Franconian Forest region.
-
D.
Freiberger
Freiberger is a versatile Swiss horse breed from the Jura region, valued for its calm temperament and use in riding, driving, and light draft work.
-
E.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
- 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: Freigericht Triple: [Main-Kinzig-Kreis, contains, Freigericht]
Generated description
Freigericht is a municipality in the state of Hesse in central Germany, located near the city of Frankfurt am Main.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freigericht Target entity description: Freigericht is a municipality in the state of Hesse in central Germany, located near the city of Frankfurt am Main.
-
A.
Frieder
Frieder is a surname most notably associated with Bill Frieder, an American college basketball coach who led successful programs at the University of Michigan and Arizona State University.
-
B.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
C.
Helmbrechts
Helmbrechts is a small town in northern Bavaria, Germany, known for its textile industry and location in the Franconian Forest region.
-
D.
Freiberger
Freiberger is a versatile Swiss horse breed from the Jura region, valued for its calm temperament and use in riding, driving, and light draft work.
-
E.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f25dec8190984bc2dafd008a48 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271e8a8c8190ba994f557f077288 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27d3befc8190bc7a3697bc0e817b |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:59 p.m.