Triple
T2391166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punu |
E48945
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Lumbu
Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
|
E264180
|
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: Lumbu | Statement: [Punu, closelyRelatedTo, Lumbu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumbu Context triple: [Punu, closelyRelatedTo, Lumbu]
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
-
C.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
D.
Sanglechi
Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
-
E.
Apswa
Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
- 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: Lumbu Triple: [Punu, closelyRelatedTo, Lumbu]
Generated description
Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lumbu Target entity description: Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
-
C.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
D.
Sanglechi
Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
-
E.
Apswa
Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87457388190822d5506327db8f2 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3d4f0608190bcc77a67fa85b963 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb79b249c8190818bc4daf9eebd2a |
completed | March 9, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb843b8e88190b5e4417a64ce8f49 |
completed | March 9, 2026, 12:08 p.m. |
Created at: March 4, 2026, 7:57 p.m.