Triple
T9478215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BSL |
E228567
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Auslan |
E228563
|
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: Auslan | Statement: [BSL, relatedTo, Auslan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auslan Context triple: [BSL, relatedTo, Auslan]
-
A.
Auslan
chosen
Auslan is the primary sign language used by the Deaf community in Australia, closely related to British and New Zealand Sign Languages.
-
B.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
C.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
D.
Winaray
Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
-
E.
Argobba language
The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar region.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8014fd0c819093bd15816f3db357 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16122898c8190947a821f69f957cc |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 7:54 p.m.