Triple
T23286382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faradda dei Candelieri |
E588997
|
entity |
| Predicate | hasLocalNameForParticipants |
P24351
|
FINISHED |
| Object | candelieri bearers |
—
|
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: candelieri bearers | Statement: [Faradda dei Candelieri, hasLocalNameForParticipants, candelieri bearers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalNameForParticipants Context triple: [Faradda dei Candelieri, hasLocalNameForParticipants, candelieri bearers]
-
A.
hasLocalNameFor
chosen
Indicates that one entity serves as the local or context-specific name or label used to refer to another entity.
-
B.
hasLocalName
Indicates that an entity is known by a specific name or designation within a particular local language, script, or regional context.
-
C.
hasLocalPartyPresence
Indicates that a political party maintains an active organizational or operational presence within a specific local area or jurisdiction.
-
D.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
E.
hasParticipantAttribute
Indicates that a participant in an event or relation bears a specific attribute, role, or characteristic within that context.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19647178c8190bbca5da38472ce05 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:59 p.m.