Triple
T16482273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfäfers |
E400348
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Untervaz
Untervaz is a municipality in the canton of Graubünden in eastern Switzerland, situated in the Rhine Valley near the city of Chur.
|
E1216190
|
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: Untervaz | Statement: [Pfäfers, neighboringMunicipality, Untervaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Untervaz Context triple: [Pfäfers, neighboringMunicipality, Untervaz]
-
A.
Vinzgouw
Vinzgouw was a medieval Frankish region associated with the early life and family origins of Hildegard, the wife of Charlemagne.
-
B.
Vashpa
Vashpa is a figure in early Buddhist tradition known as one of the disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
-
C.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
-
D.
Kvasy
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
-
E.
Viktoh
Viktoh is a Nigerian musician and recording artist known for his work in the Afrobeats and street-hop scene.
- 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: Untervaz Triple: [Pfäfers, neighboringMunicipality, Untervaz]
Generated description
Untervaz is a municipality in the canton of Graubünden in eastern Switzerland, situated in the Rhine Valley near the city of Chur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Untervaz Target entity description: Untervaz is a municipality in the canton of Graubünden in eastern Switzerland, situated in the Rhine Valley near the city of Chur.
-
A.
Vinzgouw
Vinzgouw was a medieval Frankish region associated with the early life and family origins of Hildegard, the wife of Charlemagne.
-
B.
Vashpa
Vashpa is a figure in early Buddhist tradition known as one of the disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
-
C.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
-
D.
Kvasy
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
-
E.
Viktoh
Viktoh is a Nigerian musician and recording artist known for his work in the Afrobeats and street-hop scene.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005820790c819088d953eeea09328d |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059126e588190b531c145f3c155b4 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059bf355c81909d6796482fe7f3e3 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:13 a.m.