Triple
T6069379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPR |
E135240
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | MPR |
E135240
|
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: MPR | Statement: [MPR, acronym, MPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MPR Context triple: [MPR, acronym, MPR]
-
A.
MPR
chosen
MPR is the Indonesian acronym for the People's Consultative Assembly, the country's highest constitutional body responsible for key legislative and constitutional functions.
-
B.
MP
MP is the vehicle registration code for the Indian state of Madhya Pradesh.
-
C.
MP
MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
-
D.
MP
MP is the IATA airline designator assigned to Martinair, a Dutch cargo and former passenger airline based in the Netherlands.
-
E.
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.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0574157848190bb8e0972eb55a363 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d2f43a88190a7a6834a7624998d |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:10 p.m.