Triple
T9335374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tor di Quinto |
E224628
|
entity |
| Predicate | belongsToCitySubdivisionType |
P36805
|
FINISHED |
| Object | quartieri of Rome |
—
|
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: quartieri of Rome | Statement: [Tor di Quinto, belongsToCitySubdivisionType, quartieri of Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCitySubdivisionType Context triple: [Tor di Quinto, belongsToCitySubdivisionType, quartieri of Rome]
-
A.
associatedWithSubdivision
Indicates that one entity has a connection or linkage to a specific administrative or organizational subdivision.
-
B.
hasTypeOfSubdivision
chosen
Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
-
C.
representsSubdivisionOf
Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
-
D.
countrySubdivisionType
Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
-
E.
representsSubdivision
Indicates that one entity is a subdivision or smaller administrative/organizational unit within another, larger entity.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f031888190a90d263d225d163c |
completed | April 1, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.