Triple
T6618743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolomites |
E149621
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Civetta
Civetta is a prominent mountain group in the Italian Alps known for its towering rock faces and popular climbing and hiking routes.
|
E601125
|
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: Civetta | Statement: [Dolomites, contains, Civetta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Civetta Context triple: [Dolomites, contains, Civetta]
-
A.
Nattier
Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
-
B.
Kotěra
Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
-
C.
Volpe
Volpe is an Italian surname borne by various notable individuals in politics, sports, and the arts.
-
D.
Vilca
Vilca is a small Andean town in Peru known for its scenic highland landscapes, lagoons, and traditional rural culture within the Nor Yauyos-Cochas reserve.
-
E.
Pájara
Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
- 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: Civetta Triple: [Dolomites, contains, Civetta]
Generated description
Civetta is a prominent mountain group in the Italian Alps known for its towering rock faces and popular climbing and hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Civetta Target entity description: Civetta is a prominent mountain group in the Italian Alps known for its towering rock faces and popular climbing and hiking routes.
-
A.
Nattier
Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
-
B.
Kotěra
Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
-
C.
Volpe
Volpe is an Italian surname borne by various notable individuals in politics, sports, and the arts.
-
D.
Vilca
Vilca is a small Andean town in Peru known for its scenic highland landscapes, lagoons, and traditional rural culture within the Nor Yauyos-Cochas reserve.
-
E.
Pájara
Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5b21348190b7f09045e9ec7d63 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbde37288190b1e65589aa09b676 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:58 p.m.