Triple
T7671460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajshahi Central Bus Terminal |
E173756
|
entity |
| Predicate | servesTravelFrom |
P37780
|
FINISHED |
| Object | other cities in Bangladesh |
—
|
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: other cities in Bangladesh | Statement: [Rajshahi Central Bus Terminal, servesTravelFrom, other cities in Bangladesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTravelFrom Context triple: [Rajshahi Central Bus Terminal, servesTravelFrom, other cities in Bangladesh]
-
A.
servesAirport
Indicates that a transportation service or route provides access to and operates for a particular airport.
-
B.
servesRidersTraveling
Indicates that a service or entity provides transportation-related service or support to riders who are currently traveling or in transit.
-
C.
servedFrom
chosen
Indicates that something is provided, delivered, or made available from a particular source or location.
-
D.
servesAirlinesFrom
Indicates that a location or facility provides service or operations for flights belonging to specific airlines originating from that place.
-
E.
servesBusinessTravel
Indicates that an entity provides services or accommodations specifically intended for business-related travel.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.