Triple
T19182197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg, New Jersey |
E469601
|
entity |
| Predicate | hasRegionCode |
P3446
|
FINISHED |
| Object | US-NJ |
—
|
NE NERFINISHED |
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: US-NJ | Statement: [Hamburg, New Jersey, hasRegionCode, US-NJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US-NJ Context triple: [Hamburg, New Jersey, hasRegionCode, US-NJ]
-
A.
US-NY
US-NY is the region code for the U.S. state of New York.
-
B.
New Jersey, United States
chosen
New Jersey, United States is a Mid-Atlantic state known for its dense population, diverse cities and suburbs, and proximity to major metropolitan areas like New York City and Philadelphia.
-
C.
North Jersey
North Jersey is the northern region of New Jersey, encompassing major urban and suburban areas near New York City and serving as a key economic and transportation hub for the state.
-
D.
New York and Pennsylvania
New York and Pennsylvania are neighboring states in the northeastern United States that share a long land border and significant historical, economic, and cultural ties.
-
E.
NY
NY is the vehicle registration code used for cars registered in the Hungarian city of Nyíregyháza.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61cab348190965e96ac0f701f9f |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.