Triple
T17284250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caraz |
E419609
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Artesonraju mountain |
—
|
NE ONDG |
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: Artesonraju mountain | Statement: [Caraz, hasNearbyAttraction, Artesonraju mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artesonraju mountain Context triple: [Caraz, hasNearbyAttraction, Artesonraju mountain]
-
A.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
B.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
-
C.
Mount Soputan
Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
-
D.
Gunung Besar
Gunung Besar is the highest peak on Bawean Island in Indonesia, known for its forested slopes and volcanic landscape.
-
E.
Mount Mulu
Mount Mulu is a prominent limestone mountain in northern Borneo, Malaysia, renowned for its dramatic karst landscapes and extensive cave systems.
- 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: Artesonraju mountain Triple: [Caraz, hasNearbyAttraction, Artesonraju mountain]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artesonraju mountain Target entity description: Artesonraju mountain is a striking, pyramid-shaped peak in Peru’s Cordillera Blanca, famed among climbers and photographers and often cited as resembling the mountain in the Paramount Pictures logo.
-
A.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
B.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
-
C.
Mount Soputan
Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
-
D.
Gunung Besar
Gunung Besar is the highest peak on Bawean Island in Indonesia, known for its forested slopes and volcanic landscape.
-
E.
Mount Mulu
Mount Mulu is a prominent limestone mountain in northern Borneo, Malaysia, renowned for its dramatic karst landscapes and extensive cave systems.
- F. None of above. chosen
Provenance (4 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195488d2c81908ac6c19f54f61796 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01965807cc819088792a88b8a099d3 |
in_progress | May 11, 2026, 8:42 a.m. |
Created at: April 10, 2026, 5:40 a.m.