Triple
T21938204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugis script |
E541748
|
entity |
| Predicate | hasISO15924Code |
P208
|
FINISHED |
| Object |
Bugi
Bugi is the ISO 15924 code for the traditional Bugis (Lontara) script used to write the Buginese and related languages of South Sulawesi, Indonesia.
|
E1509134
|
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: Bugi | Statement: [Bugis script, hasISO15924Code, Bugi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bugi Context triple: [Bugis script, hasISO15924Code, Bugi]
-
A.
Bungi
Bungi is a dialect of English historically spoken in parts of Canada, influenced by Indigenous and European languages.
-
B.
Bugotu
Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
-
C.
Buturi
Buturi is a scientific journal of the Physical Society of Japan that publishes research and articles in the field of physics.
-
D.
Bugeat
Bugeat is a small rural commune in central France’s Corrèze department, known for its natural surroundings on the Millevaches plateau and outdoor recreational activities.
-
E.
Bunzo
Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
- 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: Bugi Triple: [Bugis script, hasISO15924Code, Bugi]
Generated description
Bugi is the ISO 15924 code for the traditional Bugis (Lontara) script used to write the Buginese and related languages of South Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bugi Target entity description: Bugi is the ISO 15924 code for the traditional Bugis (Lontara) script used to write the Buginese and related languages of South Sulawesi, Indonesia.
-
A.
Bungi
Bungi is a dialect of English historically spoken in parts of Canada, influenced by Indigenous and European languages.
-
B.
Bugotu
Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
-
C.
Buturi
Buturi is a scientific journal of the Physical Society of Japan that publishes research and articles in the field of physics.
-
D.
Bugeat
Bugeat is a small rural commune in central France’s Corrèze department, known for its natural surroundings on the Millevaches plateau and outdoor recreational activities.
-
E.
Bunzo
Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241e35bc81909eb3225d5cd97b92 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60eaa1248190b90c304bbd673c54 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a618e55c4819099ab070410e4f1a9 |
completed | May 18, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a621fe47081908575a17b9895395a |
completed | May 18, 2026, 12:49 a.m. |
Created at: April 16, 2026, 7:55 p.m.