Triple
T14249688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hopkins |
E353223
|
entity |
| Predicate | hasStateAbbreviation |
P2461
|
FINISHED |
| Object | MN |
E874141
|
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: MN | Statement: [Hopkins, hasStateAbbreviation, MN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MN Context triple: [Hopkins, hasStateAbbreviation, MN]
-
A.
MN
chosen
MN is the standard two-letter postal abbreviation for the U.S. state of Minnesota.
-
B.
MN
MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
-
C.
MN
MN was the official abbreviation for the Hungarian People’s Army, the armed forces of the Hungarian People's Republic during the socialist era.
-
D.
NM
NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
-
E.
Minnesota
Minnesota is an American hip hop record producer known for his work with prominent rap artists in the 1990s and 2000s.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6295ef9081909cfb0c1283bca21a |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325815d48190b070866f41986847 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:08 a.m.