Triple
T10668046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sila Mountains |
E251408
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sila Grande
Sila Grande is a prominent peak within Italy’s Sila mountain range, known for its high elevation and natural landscapes.
|
E877567
|
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: Sila Grande | Statement: [Sila Mountains, hasPart, Sila Grande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sila Grande Context triple: [Sila Mountains, hasPart, Sila Grande]
-
A.
Agujas Grandes
Agujas Grandes is the prominent peak that forms the main mountainous landmark on the Canary Island of La Graciosa, Spain.
-
B.
Alcantara
Alcantara is a coastal municipality located in the island province of Romblon in the Philippines.
-
C.
Cogua
Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
-
D.
Atil
Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
-
E.
Mota
Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
- 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: Sila Grande Triple: [Sila Mountains, hasPart, Sila Grande]
Generated description
Sila Grande is a prominent peak within Italy’s Sila mountain range, known for its high elevation and natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sila Grande Target entity description: Sila Grande is a prominent peak within Italy’s Sila mountain range, known for its high elevation and natural landscapes.
-
A.
Agujas Grandes
Agujas Grandes is the prominent peak that forms the main mountainous landmark on the Canary Island of La Graciosa, Spain.
-
B.
Alcantara
Alcantara is a coastal municipality located in the island province of Romblon in the Philippines.
-
C.
Cogua
Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
-
D.
Atil
Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
-
E.
Mota
Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f860790c81909c2c1d3c489ec5b4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9ceea08190944354d127f2c73b |
completed | April 10, 2026, 10:33 p.m. |
| NEDg | Description generation | batch_69d97df755708190bf71d04ead7eaa2c |
completed | April 10, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e96d9888190ba693e1df7eb502d |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 8, 2026, 9:08 p.m.