Triple
T21252401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingpin |
E523775
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Maggia (sometimes associated) |
—
|
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: Maggia (sometimes associated) | Statement: [Kingpin, memberOf, Maggia (sometimes associated)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggia (sometimes associated) Context triple: [Kingpin, memberOf, Maggia (sometimes associated)]
-
A.
Maggia
Maggia is a river in the Swiss canton of Ticino that flows from the Alps into Lake Maggiore.
-
B.
Maggia
chosen
The Maggia is a powerful fictional international crime syndicate in the Marvel Comics universe, often serving as a major organized-crime antagonist to superheroes like Iron Man and Spider-Man.
-
C.
Maggie-Now
Maggie-Now is a novel by American author Betty Smith, best known for its portrayal of Irish-American family life in early 20th-century Brooklyn.
-
D.
MGA
MGA is the IATA airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
-
E.
MGA
MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359f5b408190b951adddba83c97a |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:57 p.m.