Triple
T10873101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuar language |
E256706
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Shuar Chicham |
E741175
|
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: Shuar Chicham | Statement: [Shuar language, nativeName, Shuar Chicham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuar Chicham Context triple: [Shuar language, nativeName, Shuar Chicham]
-
A.
Shuar Chicham
chosen
Shuar Chicham is the indigenous language of the Shuar people of the Ecuadorian Amazon, belonging to the Jivaroan language family.
-
B.
Chakari
Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
-
C.
Chitti
Chitti is a highly advanced humanoid robot with artificial intelligence who serves as the central protagonist in the Indian science fiction film Enthiran.
-
D.
Chichilianne
Chichilianne is a small commune in southeastern France known for its scenic location at the foot of Mont Aiguille in the Vercors massif.
-
E.
Chopi
Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751885b348190baf6eb606089a438 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154cc97f88190aef41d18b5ebe836 |
completed | April 16, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:21 p.m.