Triple
T20530883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SP Coast Line between Los Angeles and San Francisco |
E504062
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Lark |
—
|
NE NERFINISHED |
How this triple was built (2 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: Lark | Statement: [SP Coast Line between Los Angeles and San Francisco, servedBy, Lark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lark Context triple: [SP Coast Line between Los Angeles and San Francisco, servedBy, Lark]
-
A.
Lark
Lark is a cloud-based workplace collaboration and productivity platform offering integrated messaging, video conferencing, calendars, and document tools, developed under ByteDance.
-
B.
Lark
chosen
Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
-
C.
Lark
Lark is a small unincorporated community located in rural Donley County, Texas.
-
D.
Lark
Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
-
E.
Lark Short
Lark Short is a recurring child character on the American sitcom "Life in Pieces," appearing as a member of the Short family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06b923c81908ba24be6645a7c61 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.