Triple
T24638136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoreliner I |
E609869
|
entity |
| Predicate | hasServiceRegion |
P30177
|
FINISHED |
| Object | North American rail network |
—
|
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: North American rail network | Statement: [Shoreliner I, hasServiceRegion, North American rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceRegion Context triple: [Shoreliner I, hasServiceRegion, North American rail network]
-
A.
hasRegionalServices
Indicates that an entity provides or is associated with services that operate within a specific geographic region or set of regions.
-
B.
serviceRegion
chosen
Indicates the geographic area or jurisdiction within which a service is provided or applicable.
-
C.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
D.
issuerRegionServed
Indicates the geographic region or area that the issuer provides services to or operates within.
-
E.
isInhabitedRegionServed
Indicates that a particular inhabited region is provided with services or coverage by a specified entity (such as an organization, facility, or infrastructure).
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:33 a.m.