Triple
T14029686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athlone |
E337553
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Hazendal
Hazendal is a residential suburb of Cape Town, South Africa, situated near Athlone on the Cape Flats.
|
E1074894
|
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: Hazendal | Statement: [Athlone, hasLandmark, Hazendal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazendal Context triple: [Athlone, hasLandmark, Hazendal]
-
A.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
-
B.
Hackenholt
Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
-
C.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
D.
Wildervank
Wildervank is a village in the Dutch province of Groningen, known historically for its peat colonies and canal-side settlement pattern.
-
E.
Velburg
Velburg is a small Bavarian town in southeastern Germany known for its historic castle ruins and scenic location in the Upper Palatinate region.
- 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: Hazendal Triple: [Athlone, hasLandmark, Hazendal]
Generated description
Hazendal is a residential suburb of Cape Town, South Africa, situated near Athlone on the Cape Flats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hazendal Target entity description: Hazendal is a residential suburb of Cape Town, South Africa, situated near Athlone on the Cape Flats.
-
A.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
-
B.
Hackenholt
Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
-
C.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
D.
Wildervank
Wildervank is a village in the Dutch province of Groningen, known historically for its peat colonies and canal-side settlement pattern.
-
E.
Velburg
Velburg is a small Bavarian town in southeastern Germany known for its historic castle ruins and scenic location in the Upper Palatinate region.
- 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.