Triple
T1774577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NuBus |
E38948
|
entity |
| Predicate | wasAdoptedBy |
P9450
|
FINISHED |
| Object | Texas Instruments |
E369
|
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: Texas Instruments | Statement: [NuBus, wasAdoptedBy, Texas Instruments]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texas Instruments Context triple: [NuBus, wasAdoptedBy, Texas Instruments]
-
A.
Texas Instruments
chosen
Texas Instruments is a major American technology company best known for designing and manufacturing semiconductors and calculators used worldwide.
-
B.
National Semiconductor
National Semiconductor was a major American semiconductor company known for its analog and mixed-signal integrated circuits, later acquired by Texas Instruments.
-
C.
Signetics
Signetics was an early integrated circuit and semiconductor manufacturer that became known for pioneering memory and logic chips before being acquired by Philips.
-
D.
Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company best known for designing Snapdragon mobile processors and developing key wireless technologies such as 3G, 4G, and 5G.
-
E.
TI-73 Explorer
The TI-73 Explorer is a Texas Instruments graphing calculator designed primarily for middle school mathematics education, offering graphing, data analysis, and basic programming capabilities.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abaffee0f88190aa7a42ef4a4e2bd2 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9982d208190b0c29ee1141e91b0 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.