Triple
T402972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Jews |
E9323
|
entity |
| Predicate | capitalCommunity |
P2794
|
FINISHED |
| Object | Jewish community 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: Jewish community of Rome | Statement: [Italian Jews, capitalCommunity, Jewish community of Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalCommunity Context triple: [Italian Jews, capitalCommunity, Jewish community of Rome]
-
A.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
B.
includesCommunity
Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
-
C.
notableCityCommunity
chosen
Indicates a relationship where a city is notably associated with, recognized by, or significantly connected to a particular community.
-
D.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
E.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca0e2048190a7bf360257965e56 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e97066e8819083cc1b3a421b9650 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.