Triple
T25850184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOPAC |
E651178
|
entity |
| Predicate | railroadAbbreviationOf |
P136427
|
FINISHED |
| Object | MoPac |
—
|
NE NERFINISHED |
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: MoPac | Statement: [MOPAC, railroadAbbreviationOf, MoPac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railroadAbbreviationOf Context triple: [MOPAC, railroadAbbreviationOf, MoPac]
-
A.
railroadMet
Indicates that two or more railroads encountered or connected with each other at a specific place or time.
-
B.
railwayNickname
chosen
Indicates that a railway or rail line is known by a particular informal or colloquial nickname.
-
C.
relatedRailroad
Indicates that there is an association or connection between an entity and a specific railroad, such as ownership, operation, service, or historical linkage.
-
D.
railroad
Indicates that one entity constructs, operates, or provides railroad or train transportation services for another entity or area.
-
E.
railroadCodeFor
Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
- F. None of above.
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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 7:58 a.m.