Triple
T12055694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grabs |
E287035
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Forst
Forst is a small settlement in the municipality of Grabs in the Swiss canton of St. Gallen.
|
E961627
|
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: Forst | Statement: [Grabs, hasSettlement, Forst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forst Context triple: [Grabs, hasSettlement, Forst]
-
A.
Forez
Forez is a historic region in central France, corresponding largely to the plains and hills around Montbrison in today’s Loire department.
-
B.
de Forest
de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
-
C.
Kestenholz
Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
-
D.
Kottenforst
Kottenforst is a large forested area in western Germany known for its beech woodlands, biodiversity, and extensive network of hiking and cycling trails.
-
E.
بوستان
بوستان is a celebrated didactic Persian poem by the medieval poet Saadi of Shiraz, renowned for its moral stories and ethical teachings.
- 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: Forst Triple: [Grabs, hasSettlement, Forst]
Generated description
Forst is a small settlement in the municipality of Grabs in the Swiss canton of St. Gallen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forst Target entity description: Forst is a small settlement in the municipality of Grabs in the Swiss canton of St. Gallen.
-
A.
Forez
Forez is a historic region in central France, corresponding largely to the plains and hills around Montbrison in today’s Loire department.
-
B.
de Forest
de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
-
C.
Kestenholz
Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
-
D.
Kottenforst
Kottenforst is a large forested area in western Germany known for its beech woodlands, biodiversity, and extensive network of hiking and cycling trails.
-
E.
بوستان
بوستان is a celebrated didactic Persian poem by the medieval poet Saadi of Shiraz, renowned for its moral stories and ethical teachings.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.