Triple
T4261742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gesta Francorum |
E96119
|
entity |
| Predicate | authorParticipation |
P55016
|
FINISHED |
| Object | participant in the First Crusade |
—
|
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: participant in the First Crusade | Statement: [Gesta Francorum, authorParticipation, participant in the First Crusade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorParticipation Context triple: [Gesta Francorum, authorParticipation, participant in the First Crusade]
-
A.
participation
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
B.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
-
C.
eligibleAuthors
Indicates that certain authors meet the required conditions or criteria to qualify for a specified role, status, or action.
-
D.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
E.
endedParticipationOf
Indicates that one entity caused or marked the termination of another entity’s involvement in an activity, event, or relationship.
- F. None of above. chosen
Provenance (4 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f82b2688190bf4c581e13a9c4b9 |
completed | March 12, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.