Triple
T23124872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hasselroth
Hasselroth is a municipality in the German state of Hesse, located within the Main-Kinzig district near the city of Frankfurt am Main.
|
E1570975
|
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: Hasselroth | Statement: [Main-Kinzig-Kreis, contains, Hasselroth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasselroth Context triple: [Main-Kinzig-Kreis, contains, Hasselroth]
-
A.
Pascrell
Pascrell is the surname of Bill Pascrell, an American politician who has served as a U.S. Representative from New Jersey.
-
B.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
-
C.
Arlen
Arlen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
-
D.
Christian Chabot
Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
-
E.
Bradley Sherman
Bradley Sherman is an individual notable enough to be recognized as a bearer of the surname Sherman, though specific widely known public details about him are not clearly established.
- 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: Hasselroth Triple: [Main-Kinzig-Kreis, contains, Hasselroth]
Generated description
Hasselroth is a municipality in the German state of Hesse, located within the Main-Kinzig district near the city of Frankfurt am Main.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasselroth Target entity description: Hasselroth is a municipality in the German state of Hesse, located within the Main-Kinzig district near the city of Frankfurt am Main.
-
A.
Pascrell
Pascrell is the surname of Bill Pascrell, an American politician who has served as a U.S. Representative from New Jersey.
-
B.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
-
C.
Arlen
Arlen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
-
D.
Christian Chabot
Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
-
E.
Bradley Sherman
Bradley Sherman is an individual notable enough to be recognized as a bearer of the surname Sherman, though specific widely known public details about him are not clearly established.
- 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.