Triple
T7081724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulawesi languages |
E164970
|
entity |
| Predicate | include |
P1393
|
FINISHED |
| Object | Mandar language |
E152161
|
NE FINISHED |
How this triple was built (2 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: Mandar language | Statement: [Sulawesi languages, include, Mandar language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandar language Context triple: [Sulawesi languages, include, Mandar language]
-
A.
Mandar language
chosen
Mandar is an Austronesian language spoken primarily by the Mandar people along the western coast of Sulawesi in Indonesia.
-
B.
Mandeali language
Mandeali language is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
-
C.
Madura language
The Madura language is an Austronesian language spoken primarily on Madura Island and in parts of East Java, Indonesia, by the Madurese people.
-
D.
Mankanya language
The Mankanya language is an Atlantic language of the Niger-Congo family spoken primarily in parts of Guinea-Bissau, Senegal, and The Gambia by the Mankanya people.
-
E.
Mambae language
The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f1f5748190b214856bcfc70d81 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79477a79c81909b51175a24d17142 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:40 p.m.