Triple
T15502972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Mulhouse |
E379006
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pfastatt
Pfastatt is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
|
E1160961
|
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: Pfastatt | Statement: [arrondissement of Mulhouse, contains, Pfastatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfastatt Context triple: [arrondissement of Mulhouse, contains, Pfastatt]
-
A.
Lolodorf
Lolodorf is a small town located in the South Region of Cameroon, known for its surrounding rainforest and rural character.
-
B.
Frontenhausen
Frontenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
C.
Lovisenberg
Lovisenberg is a residential neighborhood in Oslo, Norway, known for its central location and the presence of Lovisenberg Diaconal Hospital and related educational institutions.
-
D.
Neuenhain
Neuenhain is a district of the spa town Bad Soden am Taunus in Hesse, Germany, known for its residential character and proximity to the Taunus hills.
-
E.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
- 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: Pfastatt Triple: [arrondissement of Mulhouse, contains, Pfastatt]
Generated description
Pfastatt is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pfastatt Target entity description: Pfastatt is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
-
A.
Lolodorf
Lolodorf is a small town located in the South Region of Cameroon, known for its surrounding rainforest and rural character.
-
B.
Frontenhausen
Frontenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
C.
Lovisenberg
Lovisenberg is a residential neighborhood in Oslo, Norway, known for its central location and the presence of Lovisenberg Diaconal Hospital and related educational institutions.
-
D.
Neuenhain
Neuenhain is a district of the spa town Bad Soden am Taunus in Hesse, Germany, known for its residential character and proximity to the Taunus hills.
-
E.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcc5bb88190b8a9a81419a9a38b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3669f908819087162b1b8a4e4320 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:54 a.m.