Triple
T3369055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Kalahari Game Reserve |
E70908
|
entity |
| Predicate | hasIndigenousPeople |
P194
|
FINISHED |
| Object |
San
The San are an indigenous hunter-gatherer people of Southern Africa, known for their ancient rock art, click-based languages, and deep ecological knowledge of the Kalahari region.
|
E353771
|
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: San | Statement: [Central Kalahari Game Reserve, hasIndigenousPeople, San]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Context triple: [Central Kalahari Game Reserve, hasIndigenousPeople, San]
-
A.
San Jo
San Jo is an informal nickname commonly used to refer to the city of San Jose, California.
-
B.
Kay
Kay is a common diminutive or nickname for the given name Catherine.
-
C.
Madera
Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
-
D.
Van
Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
-
E.
Salinas
Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
- 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: San Triple: [Central Kalahari Game Reserve, hasIndigenousPeople, San]
Generated description
The San are an indigenous hunter-gatherer people of Southern Africa, known for their ancient rock art, click-based languages, and deep ecological knowledge of the Kalahari region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Target entity description: The San are an indigenous hunter-gatherer people of Southern Africa, known for their ancient rock art, click-based languages, and deep ecological knowledge of the Kalahari region.
-
A.
San Jo
San Jo is an informal nickname commonly used to refer to the city of San Jose, California.
-
B.
Kay
Kay is a common diminutive or nickname for the given name Catherine.
-
C.
Madera
Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
-
D.
Van
Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
-
E.
Salinas
Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28a813c81909d1c71fe577e6681 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b334396f588190add5c0c27949650c |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334d1e3348190b231a33058ee08a5 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b33901299481908615762989e45e7c |
completed | March 12, 2026, 10:06 p.m. |
Created at: March 8, 2026, 3:13 p.m.