Triple
T12497853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martu people |
E298739
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Manyjilyjarra |
E982331
|
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: Manyjilyjarra | Statement: [Martu people, language, Manyjilyjarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manyjilyjarra Context triple: [Martu people, language, Manyjilyjarra]
-
A.
Manyjilyjarra
chosen
Manyjilyjarra is an Australian Aboriginal language variety spoken by Indigenous communities in the Western Desert region of Western Australia.
-
B.
Marajil
Marajil was the mother of the Abbasid caliph al-Ma'mun and a woman of the early ninth-century Abbasid court.
-
C.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
-
D.
Marau
Marau is an Oceanic language spoken by a small community in Papua New Guinea.
-
E.
Miasino
Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64baf73188190af29b57f8ae9253f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.