Triple
T31810944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Beaugency |
E812003
|
entity |
| Predicate | isPartOfSeriesOfEvents |
P4074
|
FINISHED |
| Object | Joan of Arc's 1429 victories |
—
|
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: Joan of Arc's 1429 victories | Statement: [Battle of Beaugency, isPartOfSeriesOfEvents, Joan of Arc's 1429 victories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfSeriesOfEvents Context triple: [Battle of Beaugency, isPartOfSeriesOfEvents, Joan of Arc's 1429 victories]
-
A.
partOfSeriesOfEvents
chosen
Indicates that an event is one element within a larger, ordered sequence of related events.
-
B.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
C.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
D.
situatedInSeries
Indicates that one entity is located or positioned within a particular series, sequence, or ordered collection of related items.
-
E.
seriesParticipatedIn
Indicates that an entity took part in or was involved as a participant in a particular series (such as a competition, event sequence, or media series).
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
Created at: April 30, 2026, 11:43 p.m.