Triple
T6996239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avikam language |
E162221
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Avikam |
E634471
|
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: Avikam | Statement: [Avikam language, glottologName, Avikam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avikam Context triple: [Avikam language, glottologName, Avikam]
-
A.
Avikam
chosen
Avikam is a Kwa language spoken by the Avikam people in southern Côte d'Ivoire.
-
B.
Avikam-Brignan
Avikam-Brignan is an alternate name for the Avikam language, a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
-
C.
Akhami
Akhami is an alternative name for the Achomi language, an Iranian language spoken primarily by communities in southern Iran and the Persian Gulf region.
-
D.
Ein Avdat
Ein Avdat is a dramatic desert canyon and oasis in southern Israel known for its steep cliffs, springs, and hiking trails.
-
E.
Achziv
Achziv is a small coastal area in northern Israel known for its beaches, national park, and archaeological remains of ancient settlements.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbedafa48190af0d2b47e3a1e17e |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77551f85881909893d67176ee5556 |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:32 p.m.