Triple
T14029503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitchells Plain |
E337549
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Lentegeur
Lentegeur is a residential suburb within the Mitchells Plain area of Cape Town, South Africa.
|
E1074876
|
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: Lentegeur | Statement: [Mitchells Plain, hasNeighbourhood, Lentegeur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lentegeur Context triple: [Mitchells Plain, hasNeighbourhood, Lentegeur]
-
A.
Longuesse
Longuesse is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
B.
Langerei
Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
-
C.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
D.
Etten en Leur
Etten en Leur was a former Dutch municipality in the province of North Brabant that historically comprised the towns of Etten and Leur before their administrative merger.
-
E.
Lange
Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
- 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: Lentegeur Triple: [Mitchells Plain, hasNeighbourhood, Lentegeur]
Generated description
Lentegeur is a residential suburb within the Mitchells Plain area of Cape Town, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lentegeur Target entity description: Lentegeur is a residential suburb within the Mitchells Plain area of Cape Town, South Africa.
-
A.
Longuesse
Longuesse is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
B.
Langerei
Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
-
C.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
D.
Etten en Leur
Etten en Leur was a former Dutch municipality in the province of North Brabant that historically comprised the towns of Etten and Leur before their administrative merger.
-
E.
Lange
Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc335a474819084c310b10e0ded9a |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc51585608190817e9a80666b7740 |
completed | May 6, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc57bf4188190aace2c976d842b43 |
completed | May 6, 2026, 10:49 p.m. |
Created at: April 9, 2026, 10:20 p.m.