Triple
T2993789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan Am Railways |
E81017
|
entity |
| Predicate | operatedNetworkType |
P23132
|
FINISHED |
| Object | freight 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: freight rail network | Statement: [Pan Am Railways, operatedNetworkType, freight rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedNetworkType Context triple: [Pan Am Railways, operatedNetworkType, freight rail network]
-
A.
networkType
Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
-
B.
operatesNetwork
Indicates that an entity manages, controls, or runs the functioning of a network.
-
C.
routeNetworkType
chosen
Indicates the specific kind of transportation or communication network to which a route belongs (e.g., road, rail, or air).
-
D.
operatedAs
Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
-
E.
operatedByBrand
Indicates that an entity (such as a service, location, or product line) is run, managed, or controlled by a particular brand.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e291e0819089f81c0a7d7a6cd9 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.