Triple
T478108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dropbox |
E9104
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
DBX
DBX is the stock ticker symbol for Dropbox, Inc., a cloud-based file storage and collaboration company traded on the NASDAQ.
|
E59617
|
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: DBX | Statement: [Dropbox, tickerSymbol, DBX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DBX Context triple: [Dropbox, tickerSymbol, DBX]
-
A.
Music Concourse
Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
-
B.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
C.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
-
D.
EDB
EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
-
E.
Pandora
Pandora is a figure from Greek mythology best known as the first woman whose curiosity led her to open a forbidden container, releasing all the evils into the world while leaving only hope inside.
- 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: DBX Triple: [Dropbox, tickerSymbol, DBX]
Generated description
DBX is the stock ticker symbol for Dropbox, Inc., a cloud-based file storage and collaboration company traded on the NASDAQ.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DBX Target entity description: DBX is the stock ticker symbol for Dropbox, Inc., a cloud-based file storage and collaboration company traded on the NASDAQ.
-
A.
Music Concourse
Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
-
B.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
C.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
-
D.
EDB
EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
-
E.
Pandora
Pandora is a figure from Greek mythology best known as the first woman whose curiosity led her to open a forbidden container, releasing all the evils into the world while leaving only hope inside.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03f3fbc81909af6e4496d5e6c2a |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46804b90881908422851eeb9bbba1 |
completed | March 1, 2026, 4:23 p.m. |
| NEDg | Description generation | batch_69a46901d5c08190af7ea8b01206505c |
completed | March 1, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4696c35c08190890e8159983e2efb |
completed | March 1, 2026, 4:29 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.