Triple
T8799439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockridge BART station |
E209363
|
entity |
| Predicate | code |
P1537
|
FINISHED |
| Object |
ROCK
ROCK is the station code for Rockridge, a Bay Area Rapid Transit (BART) station in Oakland, California.
|
E759850
|
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: ROCK | Statement: [Rockridge BART station, code, ROCK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROCK Context triple: [Rockridge BART station, code, ROCK]
-
A.
Rock
"Rock" is a popular Afrobeats/hip-hop song by Nigerian rapper and singer Olamide, known for its smooth melody and romantic lyrics.
-
B.
Rock
Rock is a professional box lacrosse team based in Toronto, Ontario, competing in the National Lacrosse League.
-
C.
Rock
Rock is a common English surname borne by various notable individuals across fields such as business, entertainment, and sports.
-
D.
Rock’n Roll
Rock’n Roll is a 2017 French comedy film directed by and starring Guillaume Canet, in which he humorously plays a fictionalized version of himself facing a midlife crisis and his fading image as a sex symbol.
-
E.
Hard Rock
Hard Rock is a globally recognized entertainment and hospitality brand known for its rock-and-roll–themed restaurants, hotels, casinos, and music memorabilia.
- 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: ROCK Triple: [Rockridge BART station, code, ROCK]
Generated description
ROCK is the station code for Rockridge, a Bay Area Rapid Transit (BART) station in Oakland, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ROCK Target entity description: ROCK is the station code for Rockridge, a Bay Area Rapid Transit (BART) station in Oakland, California.
-
A.
Rock
"Rock" is a popular Afrobeats/hip-hop song by Nigerian rapper and singer Olamide, known for its smooth melody and romantic lyrics.
-
B.
Rock
Rock is a professional box lacrosse team based in Toronto, Ontario, competing in the National Lacrosse League.
-
C.
Rock
Rock is a common English surname borne by various notable individuals across fields such as business, entertainment, and sports.
-
D.
Rock’n Roll
Rock’n Roll is a 2017 French comedy film directed by and starring Guillaume Canet, in which he humorously plays a fictionalized version of himself facing a midlife crisis and his fading image as a sex symbol.
-
E.
Hard Rock
Hard Rock is a globally recognized entertainment and hospitality brand known for its rock-and-roll–themed restaurants, hotels, casinos, and music memorabilia.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb7491c8190bcdb98d6cc003d9e |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f658f248190957eba821b07cc4f |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf713a184c8190b1fa788fd3ba8304 |
completed | April 3, 2026, 7:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf71d3517c819088c930ed468c4e8e |
completed | April 3, 2026, 7:52 a.m. |
Created at: March 30, 2026, 6:44 p.m.