Triple
T3369429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Bay Ferry |
E70917
|
entity |
| Predicate | operatorAbbreviation |
P43
|
FINISHED |
| Object |
WETA
WETA is the Water Emergency Transportation Authority, the public agency that oversees and operates ferry services in the San Francisco Bay Area.
|
E353792
|
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: WETA | Statement: [San Francisco Bay Ferry, operatorAbbreviation, WETA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WETA Context triple: [San Francisco Bay Ferry, operatorAbbreviation, WETA]
-
A.
WETA-TV
WETA-TV is a Washington, D.C.–based public television station and major PBS member known for producing flagship national programs such as PBS NewsHour.
-
B.
WCBW
WCBW was the original call sign of the New York City television station now known as WCBS-TV, one of the earliest commercial TV stations in the United States.
-
C.
KDKA (AM)
KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
-
D.
WNET
WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
-
E.
WTAE-TV
WTAE-TV is a Pittsburgh-based television station that serves as the local ABC network affiliate.
- 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: WETA Triple: [San Francisco Bay Ferry, operatorAbbreviation, WETA]
Generated description
WETA is the Water Emergency Transportation Authority, the public agency that oversees and operates ferry services in the San Francisco Bay Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WETA Target entity description: WETA is the Water Emergency Transportation Authority, the public agency that oversees and operates ferry services in the San Francisco Bay Area.
-
A.
WETA-TV
WETA-TV is a Washington, D.C.–based public television station and major PBS member known for producing flagship national programs such as PBS NewsHour.
-
B.
WCBW
WCBW was the original call sign of the New York City television station now known as WCBS-TV, one of the earliest commercial TV stations in the United States.
-
C.
KDKA (AM)
KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
-
D.
WNET
WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
-
E.
WTAE-TV
WTAE-TV is a Pittsburgh-based television station that serves as the local ABC network affiliate.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2b9b1fc8190a2cbf040ea808baf |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b334396f588190add5c0c27949650c |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334d1e3348190b231a33058ee08a5 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b33901299481908615762989e45e7c |
completed | March 12, 2026, 10:06 p.m. |
Created at: March 8, 2026, 3:13 p.m.