Triple
T19410072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boudh district |
E485563
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kantamal
Kantamal is a town and administrative settlement located in the Boudh district of the Indian state of Odisha.
|
E1374050
|
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: Kantamal | Statement: [Boudh district, hasSettlement, Kantamal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kantamal Context triple: [Boudh district, hasSettlement, Kantamal]
-
A.
Ketambe
Ketambe is a remote village in Aceh, Indonesia, known as a key access point for jungle trekking and wildlife viewing in the Gunung Leuser ecosystem, especially for observing wild orangutans.
-
B.
Kantolo
Kantolo is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of anti-apartheid leader Oliver Tambo.
-
C.
Kammala
Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
-
D.
Kanembu
The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
-
E.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the 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: Kantamal Triple: [Boudh district, hasSettlement, Kantamal]
Generated description
Kantamal is a town and administrative settlement located in the Boudh district of the Indian state of Odisha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kantamal Target entity description: Kantamal is a town and administrative settlement located in the Boudh district of the Indian state of Odisha.
-
A.
Ketambe
Ketambe is a remote village in Aceh, Indonesia, known as a key access point for jungle trekking and wildlife viewing in the Gunung Leuser ecosystem, especially for observing wild orangutans.
-
B.
Kantolo
Kantolo is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of anti-apartheid leader Oliver Tambo.
-
C.
Kammala
Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
-
D.
Kanembu
The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
-
E.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af4cc0c81909056b5e2ee574ab1 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b996ebc81908fe7c4ff930896ba |
completed | May 15, 2026, 2:20 p.m. |
| NEDg | Description generation | batch_6a072eb2d5b08190a0cafb1427cfd16d |
completed | May 15, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072f6caef48190acb52960ebde9ace |
completed | May 15, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:37 p.m.