Triple
T2553601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | trivago |
E56681
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
TRVG
TRVG is the stock ticker symbol for trivago N.V., a German-based global hotel and accommodation metasearch platform listed on the NASDAQ.
|
E276909
|
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: TRVG | Statement: [trivago, tickerSymbol, TRVG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRVG Context triple: [trivago, tickerSymbol, TRVG]
-
A.
TRV
TRV is the stock ticker symbol for The Travelers Companies, a major U.S.-based insurance provider known for its property and casualty insurance products.
-
B.
TRC
TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
-
C.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
D.
TriG
TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
-
E.
TRW
TRW was a major American aerospace and defense contractor known for its significant contributions to space exploration, satellite technology, and military systems.
- 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: TRVG Triple: [trivago, tickerSymbol, TRVG]
Generated description
TRVG is the stock ticker symbol for trivago N.V., a German-based global hotel and accommodation metasearch platform listed on the NASDAQ.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TRVG Target entity description: TRVG is the stock ticker symbol for trivago N.V., a German-based global hotel and accommodation metasearch platform listed on the NASDAQ.
-
A.
TRV
TRV is the stock ticker symbol for The Travelers Companies, a major U.S.-based insurance provider known for its property and casualty insurance products.
-
B.
TRC
TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
-
C.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
D.
TriG
TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
-
E.
TRW
TRW was a major American aerospace and defense contractor known for its significant contributions to space exploration, satellite technology, and military systems.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd30bc6388190b78f2f931eb54041 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d17ecd0819097c6b95307cc7557 |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5e0b40e0819098b6cbe31152a18c |
completed | March 9, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e66a39c81909a49c272cd595c84 |
completed | March 9, 2026, 11:57 p.m. |
Created at: March 6, 2026, 9:48 p.m.