Triple
T23220915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Ulía |
E580886
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Mount Adarra
Mount Adarra is a prominent mountain in the Basque Country of northern Spain, known for its scenic hiking routes and panoramic views near San Sebastián.
|
E1572237
|
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 Adarra | Statement: [Monte Ulía, near, Mount Adarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Adarra Context triple: [Monte Ulía, near, Mount Adarra]
-
A.
Mount Gazanasar
Mount Gazanasar is a notable summit within the Zangezur mountain range in the South Caucasus region.
-
B.
Erusheti Mountain
Erusheti Mountain is a mountainous region in southern Georgia known for its dramatic cliffs and as the site of the medieval cave city of Vardzia.
-
C.
Mount Terevaka
Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
-
D.
Mount Kerkis
Mount Kerkis is the highest and most rugged mountain on the Greek island of Samos, known for its dramatic limestone peaks and rich biodiversity.
-
E.
Mount Seleya
Mount Seleya is a sacred mountain on the planet Vulcan in the Star Trek universe, known as a central site for Vulcan spiritual and ceremonial traditions.
- 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 Adarra Triple: [Monte Ulía, near, Mount Adarra]
Generated description
Mount Adarra is a prominent mountain in the Basque Country of northern Spain, known for its scenic hiking routes and panoramic views near San Sebastián.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Adarra Target entity description: Mount Adarra is a prominent mountain in the Basque Country of northern Spain, known for its scenic hiking routes and panoramic views near San Sebastián.
-
A.
Mount Gazanasar
Mount Gazanasar is a notable summit within the Zangezur mountain range in the South Caucasus region.
-
B.
Erusheti Mountain
Erusheti Mountain is a mountainous region in southern Georgia known for its dramatic cliffs and as the site of the medieval cave city of Vardzia.
-
C.
Mount Terevaka
Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
-
D.
Mount Kerkis
Mount Kerkis is the highest and most rugged mountain on the Greek island of Samos, known for its dramatic limestone peaks and rich biodiversity.
-
E.
Mount Seleya
Mount Seleya is a sacred mountain on the planet Vulcan in the Star Trek universe, known as a central site for Vulcan spiritual and ceremonial traditions.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1922924308190a26b00e09ce60ecd |
completed | April 29, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30cc9c0481909302d64fa58d426e |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c325a76e8819094592ccff955a9e9 |
completed | May 19, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32c9d7cc8190b3d3a173d231e430 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4:08 p.m.