Triple
T18735994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrenberg |
E458163
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Affstätt
Affstätt is a village and district (Stadtteil) of the town of Herrenberg in the state of Baden-Württemberg, Germany.
|
E1339647
|
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: Affstätt | Statement: [Herrenberg, hasSubdivision, Affstätt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affstätt Context triple: [Herrenberg, hasSubdivision, Affstätt]
-
A.
Årsta
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
-
B.
Åsta
Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Arboga
Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
-
E.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
- 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: Affstätt Triple: [Herrenberg, hasSubdivision, Affstätt]
Generated description
Affstätt is a village and district (Stadtteil) of the town of Herrenberg in the state of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Affstätt Target entity description: Affstätt is a village and district (Stadtteil) of the town of Herrenberg in the state of Baden-Württemberg, Germany.
-
A.
Årsta
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
-
B.
Åsta
Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Arboga
Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
-
E.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05325fae0c8190a7f1a726ad86e3b6 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0532ce7c388190a8d6b2d83ec52354 |
completed | May 14, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053363f09c8190a7927345f1d027b3 |
completed | May 14, 2026, 2:28 a.m. |
Created at: April 10, 2026, 11:51 a.m.