Triple
T18651561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zebra Technologies |
E455951
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Symbol Technologies |
—
|
NE NERFINISHED |
How this triple was built (3 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: Symbol Technologies | Statement: [Zebra Technologies, acquired, Symbol Technologies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symbol Technologies Context triple: [Zebra Technologies, acquired, Symbol Technologies]
-
A.
Zebra Technologies
Zebra Technologies is an American company that provides enterprise asset intelligence solutions, including barcode printing, RFID, and data capture technologies for businesses worldwide.
-
B.
RFID
RFID (Radio-Frequency Identification) is a wireless technology that uses electromagnetic fields to automatically identify and track tagged objects, commonly employed in areas like inventory management, access control, and contactless payments.
-
C.
Wiegand
Wiegand is a surname of German origin, often appearing as a variant of the name Wigand.
-
D.
EPCglobal
EPCglobal is an international standards organization that develops and maintains specifications for RFID and electronic product code (EPC) technologies used in global supply chains.
-
E.
CompuMark
CompuMark is a trademark research and brand protection company that provides data and analytics services to help businesses manage and safeguard their intellectual property portfolios.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Symbol Technologies Target entity description: Symbol Technologies was a leading American manufacturer of barcode scanners, mobile computing devices, and wireless data capture systems widely used in retail and logistics.
-
A.
Zebra Technologies
Zebra Technologies is an American company that provides enterprise asset intelligence solutions, including barcode printing, RFID, and data capture technologies for businesses worldwide.
-
B.
RFID
RFID (Radio-Frequency Identification) is a wireless technology that uses electromagnetic fields to automatically identify and track tagged objects, commonly employed in areas like inventory management, access control, and contactless payments.
-
C.
Wiegand
Wiegand is a surname of German origin, often appearing as a variant of the name Wigand.
-
D.
EPCglobal
EPCglobal is an international standards organization that develops and maintains specifications for RFID and electronic product code (EPC) technologies used in global supply chains.
-
E.
CompuMark
CompuMark is a trademark research and brand protection company that provides data and analytics services to help businesses manage and safeguard their intellectual property portfolios.
- F. None of above. chosen
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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55011a8208190acf5e6f69a441043 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.