Triple
T12118675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tupi |
E288631
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Mount Matutum |
E293721
|
NE FINISHED |
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: Mount Matutum | Statement: [Tupi, hasTouristAttraction, Mount Matutum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Matutum Context triple: [Tupi, hasTouristAttraction, Mount Matutum]
-
A.
Mt. Matutum
chosen
Mt. Matutum is a prominent conical stratovolcano in Mindanao, Philippines, known for its lush forests, rich biodiversity, and challenging hiking trails.
-
B.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
C.
Mount Buko
Mount Buko is a prominent mountain in Japan’s Saitama Prefecture, known for its limestone quarrying and scenic hiking trails overlooking the Chichibu region.
-
D.
Mount Sibayak
Mount Sibayak is an active stratovolcano in North Sumatra, Indonesia, known for its accessible crater, geothermal vents, and popular hiking trails near the town of Berastagi.
-
E.
Mount Tapulao
Mount Tapulao is a prominent mountain in the Philippines known for its cool climate, pine forests, and challenging hiking trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b83c15081908d2ed4c6d2e7534b |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:49 p.m.