Triple
T13328804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guilford Rail System |
E317511
|
entity |
| Predicate | usedReportingMarks |
P42928
|
FINISHED |
| Object |
MEC
MEC is the reporting mark for the Maine Central Railroad, a historic New England freight and passenger rail carrier.
|
E1035910
|
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: MEC | Statement: [Guilford Rail System, usedReportingMarks, MEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEC Context triple: [Guilford Rail System, usedReportingMarks, MEC]
-
A.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
B.
MECA
MECA is the abbreviated name for the Metropolitan Entertainment & Convention Authority, the organization that manages major entertainment and convention facilities in Omaha, Nebraska.
-
C.
MechE
MechE is a common abbreviation for the academic and professional field of mechanical engineering, which focuses on the design, analysis, and manufacture of mechanical systems.
-
D.
MEKA
MEKA is the South Korean mobile exo-force unit in the Overwatch universe that pilots advanced mechs to defend the country from omnic threats.
-
E.
Mehcad
Mehcad is a masculine given name most notably borne by American actor and former model Mehcad Brooks.
- 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: MEC Triple: [Guilford Rail System, usedReportingMarks, MEC]
Generated description
MEC is the reporting mark for the Maine Central Railroad, a historic New England freight and passenger rail carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MEC Target entity description: MEC is the reporting mark for the Maine Central Railroad, a historic New England freight and passenger rail carrier.
-
A.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
B.
MECA
MECA is the abbreviated name for the Metropolitan Entertainment & Convention Authority, the organization that manages major entertainment and convention facilities in Omaha, Nebraska.
-
C.
MechE
MechE is a common abbreviation for the academic and professional field of mechanical engineering, which focuses on the design, analysis, and manufacture of mechanical systems.
-
D.
MEKA
MEKA is the South Korean mobile exo-force unit in the Overwatch universe that pilots advanced mechs to defend the country from omnic threats.
-
E.
Mehcad
Mehcad is a masculine given name most notably borne by American actor and former model Mehcad Brooks.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992e4f908190a6f172bf910cffb8 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f329e148190a7741344b27ea663 |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f7231e7f5881908dde74ad279362ed |
completed | May 3, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f723a23524819082c15e048ebff350 |
completed | May 3, 2026, 10:29 a.m. |
Created at: April 9, 2026, 9:30 p.m.