Triple
T1033427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEA Systems |
E22303
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
BEAS
BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
|
E120020
|
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: BEAS | Statement: [BEA Systems, tickerSymbol, BEAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEAS Context triple: [BEA Systems, tickerSymbol, BEAS]
-
A.
BESE
BESE is the acronym for the Massachusetts Board of Elementary and Secondary Education, the state body responsible for overseeing public K–12 education policy and standards in Massachusetts.
-
B.
BEA
BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
-
C.
BEG
BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
-
D.
Beacon
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
-
E.
Beal
Beal is a surname most prominently associated with NBA All-Star shooting guard Bradley Beal.
- 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: BEAS Triple: [BEA Systems, tickerSymbol, BEAS]
Generated description
BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BEAS Target entity description: BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
-
A.
BESE
BESE is the acronym for the Massachusetts Board of Elementary and Secondary Education, the state body responsible for overseeing public K–12 education policy and standards in Massachusetts.
-
B.
BEA
BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
-
C.
BEG
BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
-
D.
Beacon
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
-
E.
Beal
Beal is a surname most prominently associated with NBA All-Star shooting guard Bradley Beal.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b812c9948190a37c2b1d3d32ea38 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc15a6c81909a71bf17b5cd4019 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c7d16748190a95aaffd04a867b3 |
completed | March 7, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3ce827b88190a5de06c695ad4ecb |
completed | March 7, 2026, 2:57 p.m. |
Created at: March 1, 2026, 7:41 p.m.