Triple
T16482344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilters-Wangs |
E400350
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Vilters
Vilters is a locality within the Swiss municipality of Vilters-Wangs in the canton of St. Gallen.
|
E1218967
|
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: Vilters | Statement: [Vilters-Wangs, hasLocality, Vilters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilters Context triple: [Vilters-Wangs, hasLocality, Vilters]
-
A.
Vucherens
Vucherens is a small rural municipality in the canton of Vaud in western Switzerland, characterized by its agricultural landscape and proximity to the town of Moudon.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
-
D.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
-
E.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
- 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: Vilters Triple: [Vilters-Wangs, hasLocality, Vilters]
Generated description
Vilters is a locality within the Swiss municipality of Vilters-Wangs in the canton of St. Gallen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vilters Target entity description: Vilters is a locality within the Swiss municipality of Vilters-Wangs in the canton of St. Gallen.
-
A.
Vucherens
Vucherens is a small rural municipality in the canton of Vaud in western Switzerland, characterized by its agricultural landscape and proximity to the town of Moudon.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
-
D.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
-
E.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
- 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_6a00607aafa48190929250a879c602ca |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00647bbff88190a91aeafe82762017 |
completed | May 10, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0064cfef788190bde80077205dfa6d |
completed | May 10, 2026, 10:58 a.m. |
Created at: April 10, 2026, 5:13 a.m.