Triple
T1336205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missouri–Kansas–Texas Railroad |
E28754
|
entity |
| Predicate | completedLineToGalveston |
P27887
|
FINISHED |
| Object | 1893 |
—
|
LITERAL 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: 1893 | Statement: [Missouri–Kansas–Texas Railroad, completedLineToGalveston, 1893]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completedLineToGalveston Context triple: [Missouri–Kansas–Texas Railroad, completedLineToGalveston, 1893]
-
A.
wentTo
Indicates that one entity traveled or moved from its original location to another specified place.
-
B.
statusOfGulfCoastSegment
Indicates the current condition or state assigned to a specific segment of the Gulf Coast.
-
C.
hasGulf
Indicates that one geographic entity contains or is bordered by a gulf associated with another entity.
-
D.
reachedOhioRiver
Indicates that an entity has arrived at or come to the Ohio River as a destination or waypoint.
-
E.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
- F. None of above. chosen
Provenance (4 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1ecb5208190a9eadda113c91e66 |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c1bf31988190a659f48fe018f4bc |
completed | March 1, 2026, 10:46 p.m. |
Created at: March 1, 2026, 7:55 p.m.