Triple
T14344615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ntwetwe Pan |
E355681
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Nata
Nata is a small village in northeastern Botswana that serves as a gateway and service hub for travelers visiting the nearby Makgadikgadi salt pans and surrounding wildlife areas.
|
E1093509
|
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: Nata | Statement: [Ntwetwe Pan, nearbySettlement, Nata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nata Context triple: [Ntwetwe Pan, nearbySettlement, Nata]
-
A.
Nata
Nata is an important pre-Columbian archaeological site in Panama associated with the Gran Coclé culture.
-
B.
Nati
Nati is a traditional folk dance of the Kullu region in Himachal Pradesh, India, known for its graceful group formations and cultural significance in local festivals.
-
C.
La Nati
La Nati is the popular nickname for Switzerland’s men’s national ice hockey team, a prominent European side known for its disciplined play and passionate fan base.
-
D.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
E.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
- 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: Nata Triple: [Ntwetwe Pan, nearbySettlement, Nata]
Generated description
Nata is a small village in northeastern Botswana that serves as a gateway and service hub for travelers visiting the nearby Makgadikgadi salt pans and surrounding wildlife areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nata Target entity description: Nata is a small village in northeastern Botswana that serves as a gateway and service hub for travelers visiting the nearby Makgadikgadi salt pans and surrounding wildlife areas.
-
A.
Nata
Nata is an important pre-Columbian archaeological site in Panama associated with the Gran Coclé culture.
-
B.
Nati
Nati is a traditional folk dance of the Kullu region in Himachal Pradesh, India, known for its graceful group formations and cultural significance in local festivals.
-
C.
La Nati
La Nati is the popular nickname for Switzerland’s men’s national ice hockey team, a prominent European side known for its disciplined play and passionate fan base.
-
D.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
E.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469f63b881909c164b1aaadcc15d |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47bbc5e081908aa8b0e76661234f |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4840f0688190975d8c3c7eefb132 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:14 a.m.