Triple
T9814770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingelheim am Rhein |
E238373
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Frei-Weinheim
Frei-Weinheim is a district of the town Ingelheim am Rhein in Rhineland-Palatinate, Germany, situated along the Rhine River.
|
E832532
|
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: Frei-Weinheim | Statement: [Ingelheim am Rhein, hasPart, Frei-Weinheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frei-Weinheim Context triple: [Ingelheim am Rhein, hasPart, Frei-Weinheim]
-
A.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
B.
Rödelheim
Rödelheim is a district of Frankfurt am Main, Germany, known as a largely residential area with good transport links and local amenities.
-
C.
Friesenheim
Friesenheim is a municipality in the Ortenau district of the state of Baden-Württemberg in southwestern Germany.
-
D.
Friesenheim
Friesenheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
E.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
- 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: Frei-Weinheim Triple: [Ingelheim am Rhein, hasPart, Frei-Weinheim]
Generated description
Frei-Weinheim is a district of the town Ingelheim am Rhein in Rhineland-Palatinate, Germany, situated along the Rhine River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frei-Weinheim Target entity description: Frei-Weinheim is a district of the town Ingelheim am Rhein in Rhineland-Palatinate, Germany, situated along the Rhine River.
-
A.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
B.
Rödelheim
Rödelheim is a district of Frankfurt am Main, Germany, known as a largely residential area with good transport links and local amenities.
-
C.
Friesenheim
Friesenheim is a municipality in the Ortenau district of the state of Baden-Württemberg in southwestern Germany.
-
D.
Friesenheim
Friesenheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
E.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23ceca020819080f310f84669551a |
completed | April 5, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_69d23e6ca3908190b7ad7b932ab35ad7 |
completed | April 5, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d241020074819092bc2deea85a6ac0 |
completed | April 5, 2026, 11:01 a.m. |
Created at: March 30, 2026, 8:30 p.m.