Triple
T772393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomson SA |
E16308
|
entity |
| Predicate | notableDivision |
P18309
|
FINISHED |
| Object | Thomson-CSF |
E81227
|
NE FINISHED |
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: Thomson-CSF | Statement: [Thomson SA, notableDivision, Thomson-CSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomson-CSF Context triple: [Thomson SA, notableDivision, Thomson-CSF]
-
A.
Thomson SA
Thomson SA was a major French electronics and media conglomerate known for its consumer electronics, broadcasting, and defense-related technologies.
-
B.
Thales Group
chosen
Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
-
C.
Thomson
Thomson is a common Scottish surname historically associated with the patronymic "son of Thomas" and borne by numerous notable figures in science, politics, and the arts.
-
D.
Siemens
Siemens is a major German multinational conglomerate best known for its leading roles in industrial manufacturing, energy, healthcare technology, and infrastructure solutions worldwide.
-
E.
Aérospatiale
Aérospatiale was a major French aerospace manufacturer and state-owned company that played a key role in European aviation and space projects, including as a founding partner of Airbus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a72eda6c81908205ae5a1e05cc20 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733a21bc81909fa8f18cf8e0356a |
completed | March 3, 2026, 5:35 a.m. |
Created at: March 1, 2026, 7:37 p.m.