Triple
T14953811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9th Street |
E372867
|
entity |
| Predicate | hasEntranceOn |
P1974
|
FINISHED |
| Object | 9th Street |
unclear NED1
|
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: 9th Street | Statement: [9th Street, hasEntranceOn, 9th Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 9th Street Context triple: [9th Street, hasEntranceOn, 9th Street]
-
A.
9th Street
9th Street is a key thoroughfare running through Oakland’s Chinatown, lined with shops, restaurants, and community businesses that reflect the neighborhood’s Chinese and Asian American culture.
-
B.
9th Street
9th Street is a roadway in Riverside, California, that serves as a primary access route to the popular Mount Rubidoux park and hiking area.
-
C.
9th Street
9th Street is a PATH rapid transit station in Manhattan’s Greenwich Village neighborhood, serving trains between New Jersey and New York City.
-
D.
North 9th Street
North 9th Street is an urban thoroughfare that serves as one of the numbered north–south streets in its city’s grid system.
-
E.
South 9th Street
South 9th Street is a well-known thoroughfare in South Philadelphia that runs through the historic Italian Market, lined with food vendors, specialty shops, and neighborhood businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bda691481909c2d89a362782ed8 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:40 a.m.