Triple
T19495647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanema language |
E487761
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Tanema |
—
|
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: Tanema | Statement: [Tanema language, glottologName, Tanema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanema Context triple: [Tanema language, glottologName, Tanema]
-
A.
Tamana
Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
-
B.
Tamana
Tamana is a city in Japan known for its hot spring resorts and agricultural products, located in the northern part of Kumamoto Prefecture on Kyushu Island.
-
C.
Takura
Takura is a rural locality in Queensland, Australia, situated near the community associated with Howard.
-
D.
Tanai
Tanai is a town in northern Myanmar known for its location in Kachin State and its surrounding jade and amber mining areas.
-
E.
Tanema-Tetawo
chosen
Tanema-Tetawo is an alternate name for the Tanema language, a nearly extinct Oceanic language once spoken in the Solomon Islands.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349182ec81908dd301f802530eec |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.