Triple
T30019558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Poggi |
E762693
|
entity |
| Predicate | hasPartInHisPlan |
P134005
|
FINISHED |
| Object | ring roads around the historic center of Florence |
—
|
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: ring roads around the historic center of Florence | Statement: [Giuseppe Poggi, hasPartInHisPlan, ring roads around the historic center of Florence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInHisPlan Context triple: [Giuseppe Poggi, hasPartInHisPlan, ring roads around the historic center of Florence]
-
A.
partOfPlan
Indicates that one entity is included as a component or step within a broader plan or strategy.
-
B.
hasPlannedPart
chosen
Indicates that one entity includes another entity as a component or segment within a planned or scheduled whole.
-
C.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
D.
hasPlanningGoal
Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
-
E.
finalPlanInvolves
Indicates that a completed or chosen plan includes or incorporates a particular element, action, or component as part of its structure or execution.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 29, 2026, 6:47 p.m.