Triple
T18651554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zebra Technologies |
E455951
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object |
NASDAQ:ZBRA
NASDAQ:ZBRA is the stock ticker for Zebra Technologies Corporation, a U.S.-based company specializing in barcode printing, data capture, and enterprise asset intelligence solutions.
|
E1335991
|
NE FINISHED |
How this triple was built (4 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: NASDAQ:ZBRA | Statement: [Zebra Technologies, tradedAs, NASDAQ:ZBRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NASDAQ:ZBRA Context triple: [Zebra Technologies, tradedAs, NASDAQ:ZBRA]
-
A.
NYSE:ZMH
NYSE:ZMH was the former stock ticker symbol for Zimmer Holdings, a major U.S.-based medical device company specializing in orthopedic products such as joint replacement implants.
-
B.
NASDAQ:CZR
NASDAQ:CZR is the stock ticker for Caesars Entertainment, a major U.S. casino and resort operator.
-
C.
ZBA
ZBA is the National Rail station code assigned to Bank Underground station in London.
-
D.
ZSE
ZSE is the IATA airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
-
E.
ZNGA
ZNGA is the stock ticker symbol for Zynga Inc., a company best known for developing popular social and mobile games such as FarmVille and Words With Friends.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NASDAQ:ZBRA Triple: [Zebra Technologies, tradedAs, NASDAQ:ZBRA]
Generated description
NASDAQ:ZBRA is the stock ticker for Zebra Technologies Corporation, a U.S.-based company specializing in barcode printing, data capture, and enterprise asset intelligence solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NASDAQ:ZBRA Target entity description: NASDAQ:ZBRA is the stock ticker for Zebra Technologies Corporation, a U.S.-based company specializing in barcode printing, data capture, and enterprise asset intelligence solutions.
-
A.
NYSE:ZMH
NYSE:ZMH was the former stock ticker symbol for Zimmer Holdings, a major U.S.-based medical device company specializing in orthopedic products such as joint replacement implants.
-
B.
NASDAQ:CZR
NASDAQ:CZR is the stock ticker for Caesars Entertainment, a major U.S. casino and resort operator.
-
C.
ZBA
ZBA is the National Rail station code assigned to Bank Underground station in London.
-
D.
ZSE
ZSE is the IATA airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
-
E.
ZNGA
ZNGA is the stock ticker symbol for Zynga Inc., a company best known for developing popular social and mobile games such as FarmVille and Words With Friends.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05171ec7708190be7531acb3a265cc |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a05182b38848190ad50785ba1a884ea |
completed | May 14, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0518e6358c8190ac5f67300d63f852 |
completed | May 14, 2026, 12:35 a.m. |
Created at: April 10, 2026, 11:47 a.m.