Triple
T17052979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinkelland |
E413747
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Tilligte
Tilligte is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
|
E1248508
|
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: Tilligte | Statement: [Dinkelland, containsSettlement, Tilligte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilligte Context triple: [Dinkelland, containsSettlement, Tilligte]
-
A.
Tilottama
Tilottama is a municipality in Nepal’s Lumbini Province known for its rapid urban development and growing role as a commercial and educational hub.
-
B.
Tilottama
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
-
C.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
D.
Tinejdad
Tinejdad is a small town in eastern Morocco known for its oasis setting and traditional Berber culture.
-
E.
Tallinding
Tallinding is a residential neighborhood within the urban area of Serekunda in The Gambia.
- 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: Tilligte Triple: [Dinkelland, containsSettlement, Tilligte]
Generated description
Tilligte is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tilligte Target entity description: Tilligte is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
-
A.
Tilottama
Tilottama is a municipality in Nepal’s Lumbini Province known for its rapid urban development and growing role as a commercial and educational hub.
-
B.
Tilottama
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
-
C.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
D.
Tinejdad
Tinejdad is a small town in eastern Morocco known for its oasis setting and traditional Berber culture.
-
E.
Tallinding
Tallinding is a residential neighborhood within the urban area of Serekunda in The Gambia.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.