Triple
T867382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porbandar railway station |
E18733
|
entity |
| Predicate | servesTourism |
P17407
|
FINISHED |
| Object | Porbandar coastal attractions |
—
|
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: Porbandar coastal attractions | Statement: [Porbandar railway station, servesTourism, Porbandar coastal attractions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTourism Context triple: [Porbandar railway station, servesTourism, Porbandar coastal attractions]
-
A.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
B.
tourismImportance
Indicates the degree to which a place or entity is significant or valuable as a destination or attraction for tourists.
-
C.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
D.
touristGatewayTo
chosen
Indicates a relationship where one place serves as the primary access point or entry hub for tourists visiting another place.
-
E.
servesAttraction
Indicates that one entity functions as or provides a service that supports or enhances the experience of a particular attraction.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7e12b0819084d25b9a66888a91 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.