Triple
T21603468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touo language |
E533109
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Baniata |
—
|
NE NERFINISHED |
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: Baniata | Statement: [Touo language, hasAlternativeName, Baniata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baniata Context triple: [Touo language, hasAlternativeName, Baniata]
-
A.
Baniata
chosen
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
B.
Bani
Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
-
C.
Bani
Bani is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, agricultural produce, and scenic rural landscapes.
-
D.
Ballana
Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
-
E.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e31c80819090fdd63b5c103acb |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.