Triple
T5346578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brockton Area Transit Authority |
E124070
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
BAT
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
|
E513178
|
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: BAT | Statement: [Brockton Area Transit Authority, hasAbbreviation, BAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BAT Context triple: [Brockton Area Transit Authority, hasAbbreviation, BAT]
-
A.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
-
B.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
C.
BOT
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
-
D.
Ba
Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
-
E.
Ban
Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
- 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: BAT Triple: [Brockton Area Transit Authority, hasAbbreviation, BAT]
Generated description
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BAT Target entity description: BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
-
A.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
-
B.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
C.
BOT
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
-
D.
Ba
Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
-
E.
Ban
Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ede7c481908347d557aa4d19ad |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c95ed0819084a9cdcaf5148988 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf2236219c8190bd5c439ea13ea83a |
completed | March 21, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf229a0ad88190b7edc02a98f5fe31 |
completed | March 21, 2026, 10:58 p.m. |
Created at: March 20, 2026, 2:01 p.m.