Triple
T18655694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Kruger Gate |
E456059
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Skukuza
Skukuza is the largest rest camp and administrative headquarters of South Africa’s Kruger National Park, serving as a major hub for wildlife tourism and park operations.
|
E1335710
|
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: Skukuza | Statement: [Paul Kruger Gate, locatedNear, Skukuza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skukuza Context triple: [Paul Kruger Gate, locatedNear, Skukuza]
-
A.
Zonkwa
Zonkwa is a town in southern Kaduna State, Nigeria, serving as an important administrative and commercial center for the surrounding area.
-
B.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
C.
Ngqumbazi
Ngqumbazi was a Zulu royal woman best known as the mother of King Cetshwayo kaMpande of the Zulu Kingdom.
-
D.
Sabie
Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
-
E.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
- 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: Skukuza Triple: [Paul Kruger Gate, locatedNear, Skukuza]
Generated description
Skukuza is the largest rest camp and administrative headquarters of South Africa’s Kruger National Park, serving as a major hub for wildlife tourism and park operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skukuza Target entity description: Skukuza is the largest rest camp and administrative headquarters of South Africa’s Kruger National Park, serving as a major hub for wildlife tourism and park operations.
-
A.
Zonkwa
Zonkwa is a town in southern Kaduna State, Nigeria, serving as an important administrative and commercial center for the surrounding area.
-
B.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
C.
Ngqumbazi
Ngqumbazi was a Zulu royal woman best known as the mother of King Cetshwayo kaMpande of the Zulu Kingdom.
-
D.
Sabie
Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
-
E.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55084ca3481909ff3fd9045f25dcd |
completed | April 19, 2026, 10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0517212aac8190a8f7dd6f48862a60 |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0517db67088190910200c00340b911 |
completed | May 14, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05194eff90819083c889ca98ab26ff |
completed | May 14, 2026, 12:37 a.m. |
Created at: April 10, 2026, 11:47 a.m.