Triple
T10898441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ms. Marvel |
E257369
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Jersey City |
E16498
|
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: Jersey City | Statement: [Ms. Marvel, setIn, Jersey City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jersey City Context triple: [Ms. Marvel, setIn, Jersey City]
-
A.
Jersey City
chosen
Jersey City is a major New Jersey city across the Hudson River from Lower Manhattan, known for its waterfront skyline, diverse communities, and role as a key financial and transportation hub in the New York metropolitan area.
-
B.
Hoboken
Hoboken is a small New Jersey city across the Hudson River from Manhattan, known for its waterfront views, historic brownstones, and vibrant dining and nightlife scene.
-
C.
Hoboken
Hoboken is a district of the Belgian city of Antwerp, known for its residential character and industrial areas along the Scheldt River.
-
D.
Newark
Newark is a city in northern Delaware known for being home to the University of Delaware and its vibrant college-town community.
-
E.
Newark
Newark is a major city in northern New Jersey known for its historic significance, diverse communities, and role as a cultural and transportation hub in the New York metropolitan area.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d03a3fc81908df039b9b5ab9ca2 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e6e88e508190a1bcd90cc67cbbbf |
completed | April 18, 2026, 8:17 p.m. |
Created at: April 8, 2026, 9:21 p.m.