Triple
T1885005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borland |
E39942
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
BORL
BORL was the stock ticker symbol for Borland, a software company known for its development tools and programming environments such as Turbo Pascal and Delphi.
|
E209547
|
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: BORL | Statement: [Borland, tickerSymbol, BORL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BORL Context triple: [Borland, tickerSymbol, BORL]
-
A.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
B.
BUR
BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
-
C.
BL
BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
-
D.
BL
BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
-
E.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
- 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: BORL Triple: [Borland, tickerSymbol, BORL]
Generated description
BORL was the stock ticker symbol for Borland, a software company known for its development tools and programming environments such as Turbo Pascal and Delphi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BORL Target entity description: BORL was the stock ticker symbol for Borland, a software company known for its development tools and programming environments such as Turbo Pascal and Delphi.
-
A.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
B.
BUR
BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
-
C.
BL
BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
-
D.
BL
BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
-
E.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb11eb2d0819088d67b1cfc772049 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf61413081909c0e840590aaf631 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfcecdf48190a325eb5c8b10f238 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade0ba34ac8190ac94f7dbb5778f70 |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.