Triple
T22503598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3DEXPERIENCE |
E556334
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | GEOVIA |
—
|
NE NERFINISHED |
How this triple was built (2 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: GEOVIA | Statement: [3DEXPERIENCE, hasComponent, GEOVIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEOVIA Context triple: [3DEXPERIENCE, hasComponent, GEOVIA]
-
A.
GEOVIA
chosen
GEOVIA is a Dassault Systèmes software brand focused on modeling and simulating the earth’s resources for mining, geology, and urban planning.
-
B.
Sogeti
Sogeti is a professional services and technology consulting company specializing in IT and engineering solutions, operating as a subsidiary of Capgemini.
-
C.
Connecterra
Connecterra is a scenic gateway area to Hoge Kempen National Park in Belgium, known for its former mining landscape, panoramic viewpoints, and network of walking trails.
-
D.
Landmark Graphics
Landmark Graphics is a leading provider of software and technology services for the oil and gas industry, specializing in exploration, reservoir management, and production optimization solutions.
-
E.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5a01888190ba65a05616b63cbe |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.