Triple
T28534756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velana International Airport |
E722131
|
entity |
| Predicate | nearCapitalCity |
P33891
|
FINISHED |
| Object | Malé |
—
|
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: Malé | Statement: [Velana International Airport, nearCapitalCity, Malé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearCapitalCity Context triple: [Velana International Airport, nearCapitalCity, Malé]
-
A.
nearestCapitalCity
Indicates that one city is the geographically closest capital city to a given location or entity compared to all other capital cities.
-
B.
regionCapitalNearby
Indicates that a capital city of a region is located close to the referenced place or entity.
-
C.
countryCapitalNearby
chosen
Indicates that a country’s capital city is geographically close to a specified location or entity.
-
D.
countyCapitalNearby
Indicates that a county’s capital city is located close to a specified place or entity.
-
E.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
- 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_69f64fd960b08190844c66ad659ebbc6 |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:31 a.m.