Triple
T6731238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Oceanic languages |
E153637
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object |
Namakura
Namakura is an Oceanic Austronesian language spoken primarily on the island of Efate in Vanuatu.
|
E616028
|
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: Namakura | Statement: [Southern Oceanic languages, includesLanguage, Namakura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namakura Context triple: [Southern Oceanic languages, includesLanguage, Namakura]
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Yoshino
Yoshino is a historic mountainous area in Japan renowned for its thousands of cherry trees, religious sites, and role as a major center of Shugendō mountain worship.
-
C.
Oki-no-mimi
Oki-no-mimi is one of the principal peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
-
D.
Yamadera
Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
-
E.
Shikaoi
Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
- 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: Namakura Triple: [Southern Oceanic languages, includesLanguage, Namakura]
Generated description
Namakura is an Oceanic Austronesian language spoken primarily on the island of Efate in Vanuatu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namakura Target entity description: Namakura is an Oceanic Austronesian language spoken primarily on the island of Efate in Vanuatu.
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Yoshino
Yoshino is a historic mountainous area in Japan renowned for its thousands of cherry trees, religious sites, and role as a major center of Shugendō mountain worship.
-
C.
Oki-no-mimi
Oki-no-mimi is one of the principal peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
-
D.
Yamadera
Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
-
E.
Shikaoi
Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16a30888190ae474d90bb71ac49 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b029960819090de37c99e80ceb9 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bf3e2fc8190bc5d044b890ddc02 |
completed | March 27, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70cece560819099b488a95a3c79c5 |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:09 p.m.