Triple
T13402916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brugg District |
E319876
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
|
E1039172
|
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: Turgi | Statement: [Brugg District, hasMunicipality, Turgi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turgi Context triple: [Brugg District, hasMunicipality, Turgi]
-
A.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
B.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
C.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
D.
Böri
Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
-
E.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
- 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: Turgi Triple: [Brugg District, hasMunicipality, Turgi]
Generated description
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turgi Target entity description: Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
-
A.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
B.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
C.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
D.
Böri
Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
-
E.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4982e0819087a9fcb2fa88541f |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73076a7ac8190bd7898edff7d90e8 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f732351cf88190be85186d20b529b7 |
completed | May 3, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732d82c308190907e11de42e2c8ea |
completed | May 3, 2026, 11:34 a.m. |
Created at: April 9, 2026, 9:34 p.m.