Triple
T145520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Mariana Islands |
E2944
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object |
MNP
MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
|
E17027
|
NE FINISHED |
How this triple was built (4 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: [Northern Mariana Islands, ISO3166-1Alpha3, MNP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNP Context triple: [Northern Mariana Islands, ISO3166-1Alpha3, MNP]
-
A.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
B.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NCP
NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
-
E.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MNP Triple: [Northern Mariana Islands, ISO3166-1Alpha3, MNP]
Generated description
MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MNP Target entity description: MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
-
A.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
B.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NCP
NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
-
E.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
- F. None of above. chosen
Provenance (5 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257ea7eac8190884a53453a9e0dd6 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2bf69fd2081908df35ea5ade4307c |
completed | Feb. 28, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69a2bfb9ad848190ae1412d0e180f48f |
completed | Feb. 28, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c09721a88190a6268360c34a0b01 |
completed | Feb. 28, 2026, 10:16 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.