Triple
T18989415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orgosolo |
E464642
|
entity |
| Predicate | politicalMuralsBegan |
P120588
|
FINISHED |
| Object | second half of the 20th century |
—
|
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 half of the 20th century | Statement: [Orgosolo, politicalMuralsBegan, second half of the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalMuralsBegan Context triple: [Orgosolo, politicalMuralsBegan, second half of the 20th century]
-
A.
muralsPaintedBetween
Indicates that murals were painted during a specific time interval between two given dates or events.
-
B.
muralCompletionYear
Indicates the calendar year in which a mural was completed.
-
C.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
D.
hasMuralsFrom
chosen
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
E.
artistOfMurals
Indicates that an entity creates or is responsible for producing murals.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d66272388190850a7e5dec165a01 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.