Triple
T2375800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Maine Community College |
E46195
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
EMCC
EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
|
E261518
|
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: EMCC | Statement: [Eastern Maine Community College, abbreviation, EMCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMCC Context triple: [Eastern Maine Community College, abbreviation, EMCC]
-
A.
ECM
ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
-
B.
EMC Club
The EMC Club is a premium seating and dining area at Fenway Park offering upscale amenities and elevated views of Boston Red Sox games.
-
C.
EGMC
EGMC is the ICAO airport code for London Southend Airport in Essex, England.
-
D.
FECM
FECM is the U.S. Department of Energy office responsible for advancing technologies and policies related to fossil energy and carbon management, including carbon capture, utilization, and storage.
-
E.
EKM
EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
- 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: EMCC Triple: [Eastern Maine Community College, abbreviation, EMCC]
Generated description
EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EMCC Target entity description: EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
-
A.
ECM
ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
-
B.
EMC Club
The EMC Club is a premium seating and dining area at Fenway Park offering upscale amenities and elevated views of Boston Red Sox games.
-
C.
EGMC
EGMC is the ICAO airport code for London Southend Airport in Essex, England.
-
D.
FECM
FECM is the U.S. Department of Energy office responsible for advancing technologies and policies related to fossil energy and carbon management, including carbon capture, utilization, and storage.
-
E.
EKM
EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc794eee481908163148e1e666d9b |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8ac3e80819099065f874f9dc25d |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aeabd9a5a08190a2c6699576e36c46 |
completed | March 9, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aead3299c88190af03577eef126387 |
completed | March 9, 2026, 11:21 a.m. |
Created at: March 4, 2026, 7:57 p.m.