Triple
T4730564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uva Province |
E104995
|
entity |
| Predicate | areaRankInSriLanka |
P1170
|
FINISHED |
| Object | second smallest province by area |
—
|
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: second smallest province by area | Statement: [Uva Province, areaRankInSriLanka, second smallest province by area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInSriLanka Context triple: [Uva Province, areaRankInSriLanka, second smallest province by area]
-
A.
ethnicStatusInSriLanka
Indicates the ethnic classification or status a person or group holds within the sociopolitical context of Sri Lanka.
-
B.
hasPopulationRankInChile
Indicates the relative position of an entity in the ordered ranking of populations within Chile.
-
C.
distanceToSriLanka
Indicates the spatial distance between a given entity’s location and the country of Sri Lanka.
-
D.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
E.
distanceToColombo
Indicates the measured or calculated spatial distance between a given entity’s location and the city of Colombo.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.