Triple
T21710861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grottaglie |
E535898
|
entity |
| Predicate | urbanAreaPart |
P74415
|
FINISHED |
| Object | historic center |
—
|
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: historic center | Statement: [Grottaglie, urbanAreaPart, historic center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanAreaPart Context triple: [Grottaglie, urbanAreaPart, historic center]
-
A.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
B.
citySubdivision
chosen
Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
-
C.
urbanAreaName
Indicates the name assigned to an urban area or city within a given context.
-
D.
urbanDistrictType
Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
-
E.
urbanAreaType
Indicates the classification of an area based on its urban characteristics or development type (e.g., city, town, suburb, metropolitan region).
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5333c8481909d729fb3bc3c9bc5 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.