Triple
T1559211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahiti |
E33279
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Mont Orohena
Mont Orohena is a volcanic mountain in French Polynesia and the tallest peak on the island of Tahiti.
|
E177951
|
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: Mont Orohena | Statement: [Tahiti, highestPoint, Mont Orohena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Orohena Context triple: [Tahiti, highestPoint, Mont Orohena]
-
A.
Mount Haruna
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
-
B.
Kurohime-yama
Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
-
C.
Mount Oeta
Mount Oeta is a mountain in central Greece famed in Greek mythology as the site of Heracles’ death and apotheosis.
-
D.
Arorae
Arorae is a small, inhabited coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional culture and remote location in the central Pacific Ocean.
-
E.
Kamakou mountain
Kamakou mountain is the highest peak on the Hawaiian island of Molokaʻi, known for its rich biodiversity and native cloud-forest ecosystem.
- 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: Mont Orohena Triple: [Tahiti, highestPoint, Mont Orohena]
Generated description
Mont Orohena is a volcanic mountain in French Polynesia and the tallest peak on the island of Tahiti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mont Orohena Target entity description: Mont Orohena is a volcanic mountain in French Polynesia and the tallest peak on the island of Tahiti.
-
A.
Mount Haruna
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
-
B.
Kurohime-yama
Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
-
C.
Mount Oeta
Mount Oeta is a mountain in central Greece famed in Greek mythology as the site of Heracles’ death and apotheosis.
-
D.
Arorae
Arorae is a small, inhabited coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional culture and remote location in the central Pacific Ocean.
-
E.
Kamakou mountain
Kamakou mountain is the highest peak on the Hawaiian island of Molokaʻi, known for its rich biodiversity and native cloud-forest ecosystem.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621102cc81909c5b777a105fc91c |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3712e2ac81908c66f18fa89d46f2 |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad39f88fb48190982ca19392992008 |
completed | March 8, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad3a7c99108190b9fdb929fe2118c1 |
completed | March 8, 2026, 8:59 a.m. |
Created at: March 4, 2026, 7:27 p.m.