Triple
T7772915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuter Street |
E179115
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | River 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: River Street | Statement: [Shuter Street, crosses, River Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Street Context triple: [Shuter Street, crosses, River Street]
-
A.
River Street
River Street is a roadway in Cambridge’s city center that serves as a key connector through the urban core.
-
B.
River Street
River Street is a notable thoroughfare and local landmark in the Mattapan neighborhood of Boston, Massachusetts.
-
C.
Colon Street
Colon Street is a historic and bustling commercial thoroughfare in Cebu City, Philippines, known as the oldest street in the country.
-
D.
Bourbon Street
Bourbon Street is a famous, neon-lit entertainment strip in New Orleans known for its bars, live music, and vibrant nightlife.
-
E.
Bourbon Street
Bourbon Street is a themed dining and entertainment area in West Edmonton Mall designed to resemble New Orleans’ famous nightlife district.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7046048688190a6cbc64e82b58eca |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ee407881908e591d216c504b24 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.