Triple
T729748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardinia |
E14804
|
entity |
| Predicate | areaRankInItaly |
P1170
|
FINISHED |
| Object | second-largest island of Italy |
—
|
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 of Italy | Statement: [Sardinia, areaRankInItaly, second-largest island of Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInItaly Context triple: [Sardinia, areaRankInItaly, second-largest island of Italy]
-
A.
capitalOfItalyFrom
Indicates that the subject is the capital city of Italy during the time or context specified by the object.
-
B.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
C.
ianaArea
Indicates that one entity is associated with, or falls within, a specific IANA-defined geographic or administrative area represented by the other entity.
-
D.
ianaLocation
Indicates that an entity is associated with a specific geographic or network location identified using an IANA-defined naming or coding scheme.
-
E.
certificationItaly
Indicates that an entity holds or is associated with a certification that is specifically issued, recognized, or valid in Italy.
- 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.