Triple
T14189734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwich, Connecticut |
E351678
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Byram |
E422600
|
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: Byram | Statement: [Greenwich, Connecticut, hasNeighborhood, Byram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byram Context triple: [Greenwich, Connecticut, hasNeighborhood, Byram]
-
A.
Byram
chosen
Byram is a residential neighborhood in the town of Greenwich, Connecticut, located along the state's southwestern shoreline near the New York border.
-
B.
Elmora
Elmora is a residential neighborhood within the city of Elizabeth in Union County, New Jersey.
-
C.
Boyne City
Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
-
D.
Yelm
Yelm is a small city in Thurston County, Washington, known for its rural character, views of Mount Rainier, and proximity to Joint Base Lewis–McChord.
-
E.
Brimley
Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194543f081909cb11cf0881afa90 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.