Triple
T22415800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betawi |
E554120
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Betawi Ora
Betawi Ora is a traditional dialect of the Betawi people of Jakarta, reflecting their distinctive urban Malay-based language and cultural identity.
|
E1536231
|
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: Betawi Ora | Statement: [Betawi, hasDialect, Betawi Ora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betawi Ora Context triple: [Betawi, hasDialect, Betawi Ora]
-
A.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
B.
Banda-Banda
Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
-
C.
Oke Saje
Oke Saje is a locality within Abeokuta North in Ogun State, southwestern Nigeria.
-
D.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
E.
Kugu Nganhcara
Kugu Nganhcara is an Aboriginal Australian language (or cluster of related dialects) traditionally spoken by the Kugu people of western Cape York Peninsula in Queensland.
- 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: Betawi Ora Triple: [Betawi, hasDialect, Betawi Ora]
Generated description
Betawi Ora is a traditional dialect of the Betawi people of Jakarta, reflecting their distinctive urban Malay-based language and cultural identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betawi Ora Target entity description: Betawi Ora is a traditional dialect of the Betawi people of Jakarta, reflecting their distinctive urban Malay-based language and cultural identity.
-
A.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
B.
Banda-Banda
Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
-
C.
Oke Saje
Oke Saje is a locality within Abeokuta North in Ogun State, southwestern Nigeria.
-
D.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
E.
Kugu Nganhcara
Kugu Nganhcara is an Aboriginal Australian language (or cluster of related dialects) traditionally spoken by the Kugu people of western Cape York Peninsula in Queensland.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594615f881909688b02548ee83eb |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0e99ca48190ad93201035c819d6 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af2c6151881908f85a7c3c751cea9 |
completed | May 18, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:46 p.m.