Triple
T27882595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Collis P. Huntington |
E705131
|
entity |
| Predicate | railroadMagnateHonored |
P165418
|
FINISHED |
| Object | Collis P. Huntington |
—
|
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: Collis P. Huntington | Statement: [The Collis P. Huntington, railroadMagnateHonored, Collis P. Huntington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railroadMagnateHonored Context triple: [The Collis P. Huntington, railroadMagnateHonored, Collis P. Huntington]
-
A.
hasRailroadHistoryWith
Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
-
B.
formerRailroad
Indicates that an entity was previously a railroad but no longer functions as one.
-
C.
hasRailroadHistory
Indicates that an entity is associated with, involved in, or notable for historical events, operations, or developments related to railroads.
-
D.
railroadMet
Indicates that two or more railroads encountered or connected with each other at a specific place or time.
-
E.
originalRailroadName
Indicates the name of the railroad as it was originally known or designated, before any later changes such as mergers, rebrandings, or renamings.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 27, 2026, 6:31 p.m.