Triple
T16421054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Mexico Institute of Mining and Technology |
E398817
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | NMT |
E398817
|
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: NMT | Statement: [New Mexico Institute of Mining and Technology, shortName, NMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NMT Context triple: [New Mexico Institute of Mining and Technology, shortName, NMT]
-
A.
NMT
chosen
NMT is a science and engineering-focused public research university located in Socorro, New Mexico, known for its strong programs in mining, engineering, and the physical sciences.
-
B.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
C.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
D.
NIMT
NIMT is the commonly used abbreviation for the North Island Main Trunk, the principal railway line running through New Zealand’s North Island.
-
E.
MTE
MTE is a French company known for manufacturing the BB 7200 class of electric locomotives for the French railways.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f735b08190aec8331f54817462 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6e882c81908fae034f1b75b7ee |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.