Triple
T17057392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MFTI |
E413859
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MFTI |
E413859
|
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: MFTI | Statement: [MFTI, shortName, MFTI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MFTI Context triple: [MFTI, shortName, MFTI]
-
A.
MFTI
chosen
MFTI is a leading Russian university renowned for its rigorous training and research in physics, mathematics, and related technical sciences.
-
B.
MFT
MFT is the National Rail station code for Mansfield railway station in Nottinghamshire, England.
-
C.
MFT
MFT is the commonly used abbreviation for Manchester University NHS Foundation Trust, one of the largest NHS hospital and community healthcare providers in the UK.
-
D.
MTI
MTI is a research and education institute focused on improving surface transportation policy, management, and safety, based at San José State University.
-
E.
MIF
MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7a96288190bd985f79c3f55623 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012349b2c88190a5c5e06a5cae1ac5 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.