Triple
T7019788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colle dell’Agnello |
E162789
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Val Varaita
Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
|
E637694
|
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: Val Varaita | Statement: [Colle dell’Agnello, locatedNear, Val Varaita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Varaita Context triple: [Colle dell’Agnello, locatedNear, Val Varaita]
-
A.
Vara
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
-
B.
Váli
Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
-
C.
Varvarin
Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
-
D.
Vauhallan
Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
E.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
- 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: Val Varaita Triple: [Colle dell’Agnello, locatedNear, Val Varaita]
Generated description
Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Val Varaita Target entity description: Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
-
A.
Vara
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
-
B.
Váli
Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
-
C.
Varvarin
Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
-
D.
Vauhallan
Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
E.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e8e36c81908c95a8181781cda4 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775707e30819088b311a1a87eee79 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c77c260d2c8190bb802ca8ce388a00 |
completed | March 28, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77c944bf081909335db68da464b4f |
completed | March 28, 2026, 7 a.m. |
Created at: March 27, 2026, 2:34 p.m.