Triple
T19495640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanema language |
E487761
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tanema-Tetawo
Tanema-Tetawo is an alternate name for the Tanema language, a nearly extinct Oceanic language once spoken in the Solomon Islands.
|
E1379163
|
NE FINISHED |
How this triple was built (4 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-Tetawo | Statement: [Tanema language, hasAlternativeName, Tanema-Tetawo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanema-Tetawo Context triple: [Tanema language, hasAlternativeName, Tanema-Tetawo]
-
A.
Tatewari
Tatewari is a central fire deity in Wixárika (Huichol) religion, associated with ancestral wisdom, ritual purification, and the sacred use of peyote.
-
B.
Takutea
Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
-
C.
Tawu
Tawu is the indigenous name used by the Tao people, an Austronesian ethnic group native to Orchid Island in Taiwan.
-
D.
Tatanga
Tatanga is a recurring alien villain in the Super Mario series, best known as the main antagonist of Super Mario Land and nemesis of Princess Daisy.
-
E.
Takura
Takura is a rural locality in Queensland, Australia, situated near the community associated with Howard.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tanema-Tetawo Triple: [Tanema language, hasAlternativeName, Tanema-Tetawo]
Generated description
Tanema-Tetawo is an alternate name for the Tanema language, a nearly extinct Oceanic language once spoken in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanema-Tetawo Target entity description: Tanema-Tetawo is an alternate name for the Tanema language, a nearly extinct Oceanic language once spoken in the Solomon Islands.
-
A.
Tatewari
Tatewari is a central fire deity in Wixárika (Huichol) religion, associated with ancestral wisdom, ritual purification, and the sacred use of peyote.
-
B.
Takutea
Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
-
C.
Tawu
Tawu is the indigenous name used by the Tao people, an Austronesian ethnic group native to Orchid Island in Taiwan.
-
D.
Tatanga
Tatanga is a recurring alien villain in the Super Mario series, best known as the main antagonist of Super Mario Land and nemesis of Princess Daisy.
-
E.
Takura
Takura is a rural locality in Queensland, Australia, situated near the community associated with Howard.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0740622cd88190965b3eb6e644cb6f |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0744467d6c819082aa0933a0b9ba65 |
completed | May 15, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0744ddbc3c8190b21d691a84e3ef92 |
completed | May 15, 2026, 4:07 p.m. |
Created at: April 10, 2026, 1:40 p.m.