Triple
T9173251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akawaio language |
E220131
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Kapóng
Kapóng is an indigenous Cariban language spoken primarily by the Akawaio people of Guyana and neighboring regions.
|
E781689
|
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: Kapóng | Statement: [Akawaio language, alternativeName, Kapóng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapóng Context triple: [Akawaio language, alternativeName, Kapóng]
-
A.
Parongpong
Parongpong is a district in West Bandung Regency, West Java, Indonesia, known for its cool highland climate and agricultural areas.
-
B.
Papingo
Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
-
C.
Kapa o Pango
Kapa o Pango is a modern, specially composed haka performed by New Zealand’s All Blacks rugby team to express their identity, strength, and connection to Māori culture.
-
D.
Ban Pong
Ban Pong is a town in western Thailand that served as a key rail junction and starting point for the World War II–era Burma Railway.
-
E.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
- 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: Kapóng Triple: [Akawaio language, alternativeName, Kapóng]
Generated description
Kapóng is an indigenous Cariban language spoken primarily by the Akawaio people of Guyana and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapóng Target entity description: Kapóng is an indigenous Cariban language spoken primarily by the Akawaio people of Guyana and neighboring regions.
-
A.
Parongpong
Parongpong is a district in West Bandung Regency, West Java, Indonesia, known for its cool highland climate and agricultural areas.
-
B.
Papingo
Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
-
C.
Kapa o Pango
Kapa o Pango is a modern, specially composed haka performed by New Zealand’s All Blacks rugby team to express their identity, strength, and connection to Māori culture.
-
D.
Ban Pong
Ban Pong is a town in western Thailand that served as a key rail junction and starting point for the World War II–era Burma Railway.
-
E.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa128d48190b54b8f95d77d81cc |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0549d81d88190bea0995ad0016437 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0553c2b58819086a651863f884064 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:22 p.m.