Triple
T22332584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hout Bay |
E552058
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Hangberg
Hangberg is a coastal residential community in Hout Bay, Cape Town, known for its fishing heritage and predominantly working-class population.
|
E1530493
|
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: Hangberg | Statement: [Hout Bay, hasNeighbourhood, Hangberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hangberg Context triple: [Hout Bay, hasNeighbourhood, Hangberg]
-
A.
Hasliberg
Hasliberg is a Swiss alpine village and municipality in the canton of Bern, known for its mountain scenery and ski and hiking resort facilities.
-
B.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
C.
Grebbeberg
Grebbeberg is a hill and historic battlefield in the Netherlands, known especially for the fierce fighting that took place there during the German invasion in May 1940.
-
D.
Elphberg
Elphberg is the fictional royal family name associated with King Rudolf V in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
E.
Müggelberge
Müggelberge is a wooded hill range in southeastern Berlin, Germany, known as one of the city’s highest natural elevations and a popular local recreation area.
- 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: Hangberg Triple: [Hout Bay, hasNeighbourhood, Hangberg]
Generated description
Hangberg is a coastal residential community in Hout Bay, Cape Town, known for its fishing heritage and predominantly working-class population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hangberg Target entity description: Hangberg is a coastal residential community in Hout Bay, Cape Town, known for its fishing heritage and predominantly working-class population.
-
A.
Hasliberg
Hasliberg is a Swiss alpine village and municipality in the canton of Bern, known for its mountain scenery and ski and hiking resort facilities.
-
B.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
C.
Grebbeberg
Grebbeberg is a hill and historic battlefield in the Netherlands, known especially for the fierce fighting that took place there during the German invasion in May 1940.
-
D.
Elphberg
Elphberg is the fictional royal family name associated with King Rudolf V in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
E.
Müggelberge
Müggelberge is a wooded hill range in southeastern Berlin, Germany, known as one of the city’s highest natural elevations and a popular local recreation area.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577c1a5c819092ac468a7d5ce499 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad526a268819084cd7df7d7de1a23 |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad993b9188190aacf482038b3cd29 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada0cef848190864a88d7baa24a81 |
completed | May 18, 2026, 9:21 a.m. |
Created at: April 16, 2026, 8:43 p.m.