Triple
T10711554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paveletskaya |
E252548
|
entity |
| Predicate | isKeyTransportHub |
P58512
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Paveletskaya, isKeyTransportHub, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyTransportHub Context triple: [Paveletskaya, isKeyTransportHub, true]
-
A.
isTransportHubType
Indicates that something serves as or belongs to a particular category of transport hub (such as a station, port, or terminal).
-
B.
hasTransportHub
Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
-
C.
isTransportationHubCodeFor
Indicates that a given code uniquely identifies and represents a specific transportation hub, such as a station, airport, or terminal.
-
D.
isTransportHubBetween
Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
-
E.
isKeyCommuterStation
chosen
Indicates that a station functions as a major hub for regular commuter traffic, serving as a primary access or transfer point for daily travelers.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe523de08190a82c8f057fe8baf6 |
completed | April 9, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:13 p.m.