Triple
T4298575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hautes-Alpes |
E99775
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
La Grave
La Grave is a high-altitude village and renowned off-piste ski and mountaineering destination in the French Alps.
|
E429938
|
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: La Grave | Statement: [Hautes-Alpes, contains, La Grave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Grave Context triple: [Hautes-Alpes, contains, La Grave]
-
A.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
B.
Corsico
Corsico is a municipality in the Metropolitan City of Milan in northern Italy, known as a residential and industrial suburb of the city.
-
C.
Valperga
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
-
D.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
E.
Miravalle
Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
- 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: La Grave Triple: [Hautes-Alpes, contains, La Grave]
Generated description
La Grave is a high-altitude village and renowned off-piste ski and mountaineering destination in the French Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Grave Target entity description: La Grave is a high-altitude village and renowned off-piste ski and mountaineering destination in the French Alps.
-
A.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
B.
Corsico
Corsico is a municipality in the Metropolitan City of Milan in northern Italy, known as a residential and industrial suburb of the city.
-
C.
Valperga
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
-
D.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
E.
Miravalle
Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509d39348190aa83304661230cba |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c746c9108190a1a81e94b4768f3c |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c929aec48190bb9a00b7086afe01 |
completed | March 14, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c993a9388190a52e573b013dbe29 |
completed | March 14, 2026, 8:48 p.m. |
Created at: March 12, 2026, 11:08 p.m.