Triple
T15989582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workday |
E387789
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
WDAY
WDAY is the stock ticker symbol for Workday, Inc., a cloud-based enterprise software company specializing in human capital and financial management solutions.
|
E1187506
|
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: WDAY | Statement: [Workday, tickerSymbol, WDAY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WDAY Context triple: [Workday, tickerSymbol, WDAY]
-
A.
WDVX
WDVX is a listener-supported Americana and roots music radio station based in Knoxville, Tennessee, known for its live performance shows and promotion of regional artists.
-
B.
WATH
WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
-
C.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
D.
WRBW
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
-
E.
WCCB
WCCB is India’s specialized government agency responsible for combating wildlife-related crimes and enforcing laws to protect endangered species and their habitats.
- 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: WDAY Triple: [Workday, tickerSymbol, WDAY]
Generated description
WDAY is the stock ticker symbol for Workday, Inc., a cloud-based enterprise software company specializing in human capital and financial management solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WDAY Target entity description: WDAY is the stock ticker symbol for Workday, Inc., a cloud-based enterprise software company specializing in human capital and financial management solutions.
-
A.
WDVX
WDVX is a listener-supported Americana and roots music radio station based in Knoxville, Tennessee, known for its live performance shows and promotion of regional artists.
-
B.
WATH
WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
-
C.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
D.
WRBW
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
-
E.
WCCB
WCCB is India’s specialized government agency responsible for combating wildlife-related crimes and enforcing laws to protect endangered species and their habitats.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc45e6ff48190bb7b82adb4161ad0 |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4cea4108190927b107fc24df597 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:54 a.m.