Triple
T7690031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallenberg family |
E174220
|
entity |
| Predicate | associatedCompany |
P629
|
FINISHED |
| Object | ABB |
E84183
|
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: ABB | Statement: [Wallenberg family, associatedCompany, ABB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABB Context triple: [Wallenberg family, associatedCompany, ABB]
-
A.
ABB
chosen
ABB is a multinational Swiss-Swedish corporation specializing in robotics, power, and automation technologies for utilities and industry.
-
B.
Eaton
Eaton is the namesake of the Eaton Professor of the Science of Government at Harvard University, an endowed academic chair in political science and government studies.
-
C.
Eaton
Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
-
D.
Eaton’s
Eaton’s was a major Canadian department store chain that became a retail icon and helped shape downtown shopping districts across the country.
-
E.
Schneider Electric
Schneider Electric is a French multinational company specializing in energy management and industrial automation solutions for homes, buildings, data centers, infrastructure, and industry.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702421dec8190a74f8ade992ca811 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a26686a08190acf66586f6c7592b |
completed | March 29, 2026, 3:54 a.m. |
Created at: March 27, 2026, 4:02 p.m.