Triple
T26905513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit–Niagara Falls |
E677240
|
entity |
| Predicate | onwardConnectionsTo |
P845
|
FINISHED |
| Object | northeastern United States rail network |
—
|
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: northeastern United States rail network | Statement: [Detroit–Niagara Falls, onwardConnectionsTo, northeastern United States rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onwardConnectionsTo Context triple: [Detroit–Niagara Falls, onwardConnectionsTo, northeastern United States rail network]
-
A.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
B.
flowsTo
Indicates that something moves or is directed from one location or entity toward and into another, typically in a continuous or channel-like manner.
-
C.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
-
D.
successorRelations
Indicates that one entity directly follows or succeeds another in an ordered sequence or progression.
-
E.
successorConnector
Indicates a relationship where one element is directly connected to and follows another in a sequence or ordered structure.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fb2e9808190a27e6fb40a310d9d |
completed | May 2, 2026, 4 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:58 a.m.