Triple
T5933916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capgemini |
E131998
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
Altran
Altran is a global engineering and R&D services company, now operating as part of Capgemini Engineering after its acquisition by Capgemini.
|
E556330
|
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: Altran | Statement: [Capgemini, subsidiary, Altran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altran Context triple: [Capgemini, subsidiary, Altran]
-
A.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
-
B.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
C.
Setra
Setra is a German brand of premium coaches and buses known for its high-quality engineering and comfort, produced by Daimler AG.
-
D.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
-
E.
Schroda
Schroda is a town in western Poland, historically part of the Prussian Province of Posen, known today as Środa Wielkopolska.
- 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: Altran Triple: [Capgemini, subsidiary, Altran]
Generated description
Altran is a global engineering and R&D services company, now operating as part of Capgemini Engineering after its acquisition by Capgemini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altran Target entity description: Altran is a global engineering and R&D services company, now operating as part of Capgemini Engineering after its acquisition by Capgemini.
-
A.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
-
B.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
C.
Setra
Setra is a German brand of premium coaches and buses known for its high-quality engineering and comfort, produced by Daimler AG.
-
D.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
-
E.
Schroda
Schroda is a town in western Poland, historically part of the Prussian Province of Posen, known today as Środa Wielkopolska.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c069e450819096b268637ffcd219 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c46fabf081908484ba066c25187b |
completed | March 23, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4f21528819093a36c07e2637446 |
completed | March 23, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4 p.m.