Triple
T12877831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipzig metropolitan region |
E308012
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Stößen
Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
|
E1006473
|
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: Stößen | Statement: [Leipzig metropolitan region, containsCity, Stößen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stößen Context triple: [Leipzig metropolitan region, containsCity, Stößen]
-
A.
Stetinden
Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
-
B.
Unternehmen Paukenschlag
Unternehmen Paukenschlag was the German World War II U-boat campaign against Allied shipping off the east coast of North America in early 1942, intended to disrupt transatlantic supply lines.
-
C.
The Stud
The Stud is a racy 1969 novel by Jackie Collins that follows the glamorous, hedonistic lives and sexual escapades of the London jet set.
-
D.
Sauviat
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
-
E.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
- 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: Stößen Triple: [Leipzig metropolitan region, containsCity, Stößen]
Generated description
Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stößen Target entity description: Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
-
A.
Stetinden
Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
-
B.
Unternehmen Paukenschlag
Unternehmen Paukenschlag was the German World War II U-boat campaign against Allied shipping off the east coast of North America in early 1942, intended to disrupt transatlantic supply lines.
-
C.
The Stud
The Stud is a racy 1969 novel by Jackie Collins that follows the glamorous, hedonistic lives and sexual escapades of the London jet set.
-
D.
Sauviat
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
-
E.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb83bac8190838f7537b806317c |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69cc6fa84819093a4317ab355f62b |
completed | May 3, 2026, 12:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69d845a9081909b40562825c1c500 |
completed | May 3, 2026, 12:57 a.m. |
Created at: April 9, 2026, 5:38 p.m.