Triple
T729747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardinia |
E14804
|
entity |
| Predicate | areaRankInMediterranean |
P1170
|
FINISHED |
| Object | second-largest island in the Mediterranean Sea |
—
|
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-largest island in the Mediterranean Sea | Statement: [Sardinia, areaRankInMediterranean, second-largest island in the Mediterranean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInMediterranean Context triple: [Sardinia, areaRankInMediterranean, second-largest island in the Mediterranean Sea]
-
A.
distanceFromMediterranean
Indicates the measured spatial distance between a given location and the Mediterranean Sea.
-
B.
areaRankingInEurope
Indicates the position of an entity in a size-based ranking of areas within Europe.
-
C.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
D.
rankInWorldByArea
Indicates the position of an entity in a global ordering based on its total area size.
-
E.
regionRankContext
Indicates the relative ranking or position of something within a specific geographic or regional context.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f9b7608190bf97c8418a26e632 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.