Triple
T7160808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambre |
E166937
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Thuin
Thuin is a historic town in the Walloon region of Belgium, known for its medieval belfry and picturesque setting along the Sambre River.
|
E645857
|
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: Thuin | Statement: [Sambre, flowsThrough, Thuin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thuin Context triple: [Sambre, flowsThrough, Thuin]
-
A.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
B.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
C.
Thiesi
Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
-
D.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
E.
Hienghène
Hienghène is a coastal commune in the North Province of New Caledonia, known for its dramatic limestone rock formations and cultural significance to the indigenous Kanak people.
- 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: Thuin Triple: [Sambre, flowsThrough, Thuin]
Generated description
Thuin is a historic town in the Walloon region of Belgium, known for its medieval belfry and picturesque setting along the Sambre River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thuin Target entity description: Thuin is a historic town in the Walloon region of Belgium, known for its medieval belfry and picturesque setting along the Sambre River.
-
A.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
B.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
C.
Thiesi
Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
-
D.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
E.
Hienghène
Hienghène is a coastal commune in the North Province of New Caledonia, known for its dramatic limestone rock formations and cultural significance to the indigenous Kanak people.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82ce770819081dccf7ffd50c2ab |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc08b688190a00024727542c8b9 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae661f4481908ee489023af9603b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aef767848190b7edf7a99e2e019d |
completed | March 28, 2026, 10:35 a.m. |
Created at: March 27, 2026, 2:47 p.m.