Triple
T15364977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandangara |
E367387
|
entity |
| Predicate | neighbouringGroup |
P5965
|
FINISHED |
| Object | Darug |
E73140
|
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: Darug | Statement: [Gandangara, neighbouringGroup, Darug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darug Context triple: [Gandangara, neighbouringGroup, Darug]
-
A.
Butuanon
Butuanon is an Austronesian language spoken primarily in the city of Butuan and surrounding areas in northeastern Mindanao in the southern Philippines.
-
B.
Yakan
Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
-
C.
Darug people
chosen
The Darug people are an Aboriginal Australian group whose ancestral lands encompass much of what is now the Sydney region, including the Blue Mountains area.
-
D.
Sasmuan
Sasmuan is a coastal municipality in the province of Pampanga in the Philippines, known for its fishing industry, wetlands, and bird-watching sites.
-
E.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4cc39c81908a0aff959352f6d5 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.