Triple
T19813523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murasoli |
E476004
|
entity |
| Predicate | hasElectionCoverage |
P106030
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Murasoli, hasElectionCoverage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectionCoverage Context triple: [Murasoli, hasElectionCoverage, true]
-
A.
hasPoliticalCoverage
Indicates that one entity provides or includes reporting, analysis, or information about the political activities, positions, or affairs of another entity.
-
B.
hasBroadcastCoverageIn
Indicates that a broadcast (such as a TV or radio program, channel, or signal) is available or transmitted within a specified geographic area or region.
-
C.
hasElection
Indicates that an entity conducts, holds, or is associated with an election event.
-
D.
hasMediaCoverageTopic
chosen
Indicates that a piece of media coverage is about, focused on, or thematically related to a particular topic.
-
E.
hasLocalMediaCoverageFrom
Indicates that an entity has been reported on or featured by a specified local media outlet or source.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542d7c048190818359cbf430f50e |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.