Triple
T297926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F Market & Wharves |
E6133
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Muni |
E6878
|
NE FINISHED |
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: Muni | Statement: [F Market & Wharves, operatedBy, Muni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muni Context triple: [F Market & Wharves, operatedBy, Muni]
-
A.
Muni
chosen
Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
-
B.
Fruitvale
Fruitvale is a vibrant, historically Latino neighborhood in Oakland, California, known for its cultural festivals, diverse community, and bustling commercial district centered around International Boulevard.
-
C.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
-
D.
Orlyval
Orlyval is an automated light rail shuttle service in the Paris region that links Orly Airport to the broader RER and metro network.
-
E.
Portland Streetcar
Portland Streetcar is a modern urban streetcar transit system serving central Portland, Oregon, connecting key neighborhoods, employment centers, and educational institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e3acc08190a35746f2de7e30f0 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b071c6e881908e9ca17bd5dc911e |
completed | March 1, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.