Triple
T28534755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velana International Airport |
E722131
|
entity |
| Predicate | primaryServesIndustry |
P1296
|
FINISHED |
| Object | tourism in Maldives |
—
|
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: tourism in Maldives | Statement: [Velana International Airport, primaryServesIndustry, tourism in Maldives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryServesIndustry Context triple: [Velana International Airport, primaryServesIndustry, tourism in Maldives]
-
A.
primaryServes
chosen
Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
-
B.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
C.
supportedIndustry
Indicates that one entity provides backing, resources, or services to help sustain or advance a particular industry.
-
D.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
E.
primarySectorActivity
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a004d0b46148190bcec4ea67acfe170 |
completed | May 10, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_6a004c92283081909f229c1720af155a |
completed | May 10, 2026, 9:14 a.m. |
Created at: April 28, 2026, 3:31 a.m.