Triple
T7274457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Pacific North Line |
E162988
|
entity |
| Predicate | lineNumber |
P1864
|
FINISHED |
| Object | UP-N |
E549093
|
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: UP-N | Statement: [Union Pacific North Line, lineNumber, UP-N]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UP-N Context triple: [Union Pacific North Line, lineNumber, UP-N]
-
A.
UPG
UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
-
B.
UP-NW
chosen
UP-NW is the abbreviation used by Metra for its Union Pacific Northwest commuter rail line serving Chicago and its northwestern suburbs.
-
C.
UP-W
UP-W is the service designation used by Metra for its Union Pacific West commuter rail line in the Chicago metropolitan area.
-
D.
UPB
UPB is the commonly used abbreviation for the Politehnica University of Bucharest, a major technical university in Romania.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb0de9f48190807dd148758bad62 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db2936dc8190aed38888bb5e47b8 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:58 p.m.