Triple
T23485470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tháp Chàm Railway Station |
E570521
|
entity |
| Predicate | primaryRailGatewayFor |
P109925
|
FINISHED |
| Object | Ninh Thuận Province |
—
|
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: Ninh Thuận Province | Statement: [Tháp Chàm Railway Station, primaryRailGatewayFor, Ninh Thuận Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRailGatewayFor Context triple: [Tháp Chàm Railway Station, primaryRailGatewayFor, Ninh Thuận Province]
-
A.
primaryRailLinkFor
chosen
Indicates that one entity serves as the main or principal rail connection or route for another entity.
-
B.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
-
C.
primaryRouteOf
Indicates that one route is the main or most important pathway used for reaching or connecting to a particular destination or entity.
-
D.
primaryRouteType
Indicates the main category or kind of route associated with an entity, such as its primary mode, path, or routing classification.
-
E.
primaryRouteFrom
Indicates that one entity serves as the main or preferred route originating from another entity.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7538a8c8190b7effcc39a3f9787 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:03 p.m.