Triple
T4840048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia-Ann Square Historic District |
E108154
|
entity |
| Predicate | street |
P959
|
FINISHED |
| Object |
Ann Street
Ann Street is a roadway that runs through the Julia-Ann Square Historic District, a notable historic neighborhood.
|
E819132
|
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: Ann Street | Statement: [Julia-Ann Square Historic District, street, Ann Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Street Context triple: [Julia-Ann Square Historic District, street, Ann Street]
-
A.
Warren Street
Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
-
B.
Warren Street
Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
-
C.
Warren Street
Warren Street is a London Underground station in central London served by the Northern and Victoria lines.
-
D.
Forrester Street
Forrester Street is a roadway in Salem, Massachusetts, that runs along the edge of the historic Salem Common park.
-
E.
Bedford Street
Bedford Street is a central thoroughfare in Belfast, Northern Ireland, known for its mix of historic architecture, offices, and cultural venues close to Donegall Square.
- 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: Ann Street Triple: [Julia-Ann Square Historic District, street, Ann Street]
Generated description
Ann Street is a roadway that runs through the Julia-Ann Square Historic District, a notable historic neighborhood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ann Street Target entity description: Ann Street is a roadway that runs through the Julia-Ann Square Historic District, a notable historic neighborhood.
-
A.
Warren Street
Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
-
B.
Warren Street
Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
-
C.
Warren Street
Warren Street is a London Underground station in central London served by the Northern and Victoria lines.
-
D.
Forrester Street
Forrester Street is a roadway in Salem, Massachusetts, that runs along the edge of the historic Salem Common park.
-
E.
Bedford Street
Bedford Street is a central thoroughfare in Belfast, Northern Ireland, known for its mix of historic architecture, offices, and cultural venues close to Donegall Square.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cfbfbb08190b4580ebb2eb845b2 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bc96f7288190ab8d1bbf9d428903 |
completed | April 5, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69d1bd7ee790819093b0aec59e22c6d3 |
completed | April 5, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bde561f88190bf8a0126096ee6bf |
completed | April 5, 2026, 1:41 a.m. |
Created at: March 20, 2026, 1:25 p.m.