Triple
T9582052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | uThukela District Municipality |
E231195
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Weenen
Weenen is a small historic town in KwaZulu-Natal, South Africa, known for its agricultural surroundings and proximity to the Weenen Game Reserve.
|
E808674
|
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: Weenen | Statement: [uThukela District Municipality, containsTown, Weenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weenen Context triple: [uThukela District Municipality, containsTown, Weenen]
-
A.
Veeweyde
Veeweyde is a neighborhood-level district within the Brussels municipality of Anderlecht, known primarily as a residential area served by the Veeweyde metro station.
-
B.
Wannweil
Wannweil is a small municipality in the state of Baden-Württemberg in southwestern Germany.
-
C.
Meent
Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
-
D.
De Meent
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
-
E.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
- 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: Weenen Triple: [uThukela District Municipality, containsTown, Weenen]
Generated description
Weenen is a small historic town in KwaZulu-Natal, South Africa, known for its agricultural surroundings and proximity to the Weenen Game Reserve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weenen Target entity description: Weenen is a small historic town in KwaZulu-Natal, South Africa, known for its agricultural surroundings and proximity to the Weenen Game Reserve.
-
A.
Veeweyde
Veeweyde is a neighborhood-level district within the Brussels municipality of Anderlecht, known primarily as a residential area served by the Veeweyde metro station.
-
B.
Wannweil
Wannweil is a small municipality in the state of Baden-Württemberg in southwestern Germany.
-
C.
Meent
Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
-
D.
De Meent
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
-
E.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cd59008190888eb11f00f61994 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1616a11688190ba47343e4fd913fd |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d16360b7708190bc23294f267ac695 |
completed | April 4, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d163e654388190ba9b617e6fac18ad |
completed | April 4, 2026, 7:17 p.m. |
Created at: March 30, 2026, 8:05 p.m.