Triple
T9806842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritz Hoffmann-La Roche |
E238174
|
entity |
| Predicate | hasPartInName |
P5298
|
FINISHED |
| Object |
La Roche
La Roche is a shortened reference to the Swiss healthcare company F. Hoffmann-La Roche AG, a major global pharmaceutical and diagnostics firm.
|
E821685
|
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 Roche | Statement: [Fritz Hoffmann-La Roche, hasPartInName, La Roche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Roche Context triple: [Fritz Hoffmann-La Roche, hasPartInName, La Roche]
-
A.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
B.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
C.
Vallette
Vallette is a district in Turin, Italy, known for hosting the modern Allianz Stadium, home of the Juventus football club.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
La Dôle
La Dôle is a prominent mountain peak in the Jura range of western Switzerland, known for its panoramic views over Lake Geneva and the Alps and for hosting telecommunications and weather facilities near its summit.
- 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 Roche Triple: [Fritz Hoffmann-La Roche, hasPartInName, La Roche]
Generated description
La Roche is a shortened reference to the Swiss healthcare company F. Hoffmann-La Roche AG, a major global pharmaceutical and diagnostics firm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Roche Target entity description: La Roche is a shortened reference to the Swiss healthcare company F. Hoffmann-La Roche AG, a major global pharmaceutical and diagnostics firm.
-
A.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
B.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
C.
Vallette
Vallette is a district in Turin, Italy, known for hosting the modern Allianz Stadium, home of the Juventus football club.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
La Dôle
La Dôle is a prominent mountain peak in the Jura range of western Switzerland, known for its panoramic views over Lake Geneva and the Alps and for hosting telecommunications and weather facilities near its summit.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7cb9588190953a063cb7b9e29e |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c45a84d08190a7b5769d4a489b35 |
completed | April 5, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69d1c57aa5e081909262cb942fdc02c5 |
completed | April 5, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5c0e6e88190bbf6eb379e6d1aa3 |
completed | April 5, 2026, 2:15 a.m. |
Created at: March 30, 2026, 8:29 p.m.