Triple
T1693007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongqing |
E36590
|
entity |
| Predicate | isMajorTransportationHub |
P2413
|
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: [Chongqing, isMajorTransportationHub, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorTransportationHub Context triple: [Chongqing, isMajorTransportationHub, true]
-
A.
hasTransportHub
chosen
Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
-
B.
hasMajorRailwayStation
Indicates that a place contains or is served by a principal railway station that functions as a major hub for rail transport.
-
C.
isTransportationHubCodeFor
Indicates that a given code uniquely identifies and represents a specific transportation hub, such as a station, airport, or terminal.
-
D.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
-
E.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.