Triple
T3814379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leidens Ontzet |
E84215
|
entity |
| Predicate | hasMainDate |
P27895
|
FINISHED |
| Object | 3 October |
—
|
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: 3 October | Statement: [Leidens Ontzet, hasMainDate, 3 October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainDate Context triple: [Leidens Ontzet, hasMainDate, 3 October]
-
A.
hasDateWith
Indicates that one entity is scheduled to go on or is engaged in a romantic or social date with another entity.
-
B.
hasMainPeriod
Indicates that something is associated with or characterized by a primary or most significant time period.
-
C.
hasBaseDate
chosen
Indicates that an entity is associated with a specific reference or starting date used as the basis for related calculations, schedules, or validity periods.
-
D.
hasPrimaryMeeting
Indicates that an entity is associated with its main or most important meeting, distinguishing it from other meetings it may have.
-
E.
hasDays
Indicates that an entity is associated with, spans, or occurs on specific days.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.