Triple
T7851142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Bronx |
E182055
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Port Morris |
E138634
|
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: Port Morris | Statement: [South Bronx, contains, Port Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Morris Context triple: [South Bronx, contains, Port Morris]
-
A.
Port Morris
chosen
Port Morris is a waterfront industrial and residential neighborhood in the South Bronx of New York City.
-
B.
Milsons Point
Milsons Point is a harbourside suburb on Sydney’s lower North Shore, known for its views of Sydney Harbour and proximity to the Sydney Harbour Bridge and Luna Park.
-
C.
Crows Nest
Crows Nest is a vibrant lower North Shore suburb of Sydney, Australia, known for its bustling dining and nightlife scene.
-
D.
Port Botany
Port Botany is one of Australia’s largest container and bulk liquid ports, serving as a key maritime trade hub for Sydney and New South Wales.
-
E.
Mosman
Mosman is an affluent harbourside suburb on Sydney’s Lower North Shore known for its scenic waterfront, beaches, and proximity to Taronga Zoo.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18eaac508190bf373b1d50b52e1e |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdf21add88190bc07d3164e940116 |
completed | March 31, 2026, 2:50 p.m. |
Created at: March 30, 2026, 4:50 p.m.