Triple
T796178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MP |
E17026
|
entity |
| Predicate | hasAssociatedAlpha3Code |
P189
|
FINISHED |
| Object | MNP |
E17027
|
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: MNP | Statement: [MP, hasAssociatedAlpha3Code, MNP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNP Context triple: [MP, hasAssociatedAlpha3Code, MNP]
-
A.
MNP
chosen
MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
-
B.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
C.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
D.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
E.
MNF
MNF is the commonly used abbreviation for the Faculty of Science at the University of Zurich, encompassing its natural science departments and research institutes.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b172e88190a26d31c9075b81fb |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67effd3b481909036bdc43d7b909f |
completed | March 3, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:38 p.m.