Triple
T3221147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Range |
E67513
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mount Tate
Mount Tate is a prominent peak in the Main Range of the Snowy Mountains in New South Wales, Australia, popular with hikers and backcountry skiers.
|
E338281
|
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: Mount Tate | Statement: [Main Range, contains, Mount Tate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tate Context triple: [Main Range, contains, Mount Tate]
-
A.
Mount Wutai
Mount Wutai is one of China’s most sacred Buddhist mountains, renowned for its ancient monasteries, religious significance, and scenic highland landscapes.
-
B.
Mount Nantai
Mount Nantai is a prominent stratovolcano in Japan known as a sacred mountain of Shinto and a scenic landmark near Lake Chūzenji in Nikkō.
-
C.
Mount Tai
Mount Tai is one of China’s most famous and historically significant sacred mountains, revered in Chinese religion and culture for millennia.
-
D.
Mount Oeta
Mount Oeta is a mountain in central Greece famed in Greek mythology as the site of Heracles’ death and apotheosis.
-
E.
Mount Fuji
Mount Fuji is Japan’s iconic, snow-capped stratovolcano and highest peak, renowned for its nearly symmetrical cone and cultural significance.
- 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: Mount Tate Triple: [Main Range, contains, Mount Tate]
Generated description
Mount Tate is a prominent peak in the Main Range of the Snowy Mountains in New South Wales, Australia, popular with hikers and backcountry skiers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Tate Target entity description: Mount Tate is a prominent peak in the Main Range of the Snowy Mountains in New South Wales, Australia, popular with hikers and backcountry skiers.
-
A.
Mount Wutai
Mount Wutai is one of China’s most sacred Buddhist mountains, renowned for its ancient monasteries, religious significance, and scenic highland landscapes.
-
B.
Mount Nantai
Mount Nantai is a prominent stratovolcano in Japan known as a sacred mountain of Shinto and a scenic landmark near Lake Chūzenji in Nikkō.
-
C.
Mount Tai
Mount Tai is one of China’s most famous and historically significant sacred mountains, revered in Chinese religion and culture for millennia.
-
D.
Mount Oeta
Mount Oeta is a mountain in central Greece famed in Greek mythology as the site of Heracles’ death and apotheosis.
-
E.
Mount Fuji
Mount Fuji is Japan’s iconic, snow-capped stratovolcano and highest peak, renowned for its nearly symmetrical cone and cultural significance.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae16f20081909d7f3bac016f961d |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2624a770881908f0a9415b6f74ee0 |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b2662274988190ae62791744df0562 |
completed | March 12, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b266bf6bf48190a4480bf9a699dae8 |
completed | March 12, 2026, 7:09 a.m. |
Created at: March 8, 2026, 3:08 p.m.