Triple
T17443816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Jr. East Busway |
E424726
|
entity |
| Predicate | hasInfrastructureElement |
P118177
|
FINISHED |
| Object | stations |
—
|
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: stations | Statement: [Martin Luther King Jr. East Busway, hasInfrastructureElement, stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureElement Context triple: [Martin Luther King Jr. East Busway, hasInfrastructureElement, stations]
-
A.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
B.
hasInfrastructureAbove
Indicates that one entity’s infrastructure is physically located above or over another entity.
-
C.
hasAccessInfrastructure
Indicates that an entity is equipped with or connected to the physical or technical infrastructure necessary to access a particular service, resource, or network.
-
D.
hasTechnicalElement
Indicates that something includes, involves, or is characterized by a technical component, feature, or aspect.
-
E.
hasNetworkElement
chosen
Indicates that one entity includes, contains, or is associated with a specific network element as part of its network structure or configuration.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff927ec8190995798f569e913ba |
completed | April 19, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:47 a.m.