Triple
T1336201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missouri–Kansas–Texas Railroad |
E28754
|
entity |
| Predicate | enteredTexas |
P14234
|
FINISHED |
| Object | 1872 |
—
|
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: 1872 | Statement: [Missouri–Kansas–Texas Railroad, enteredTexas, 1872]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredTexas Context triple: [Missouri–Kansas–Texas Railroad, enteredTexas, 1872]
-
A.
homeState
Indicates that a person or organization has their primary residence, registration, or official base in a particular state.
-
B.
enteredSpace
chosen
Indicates that an entity has moved into or crossed the boundary into a particular space or area.
-
C.
populationRankInTexas
Indicates the relative position of an entity in terms of population size compared to other entities within Texas.
-
D.
enteredIntoForce
Indicates that a law, treaty, agreement, or regulation has become legally effective and binding from a specific point in time.
-
E.
capitalOfHisState
Indicates that one entity is the capital city of the state governed or represented by the other 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_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. |
Created at: March 1, 2026, 7:55 p.m.