Triple
T33082638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant-General of the Kingdom of France |
E846548
|
entity |
| Predicate | oftenHeldDuring |
P192440
|
FINISHED |
| Object | king’s absence |
—
|
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: king’s absence | Statement: [Lieutenant-General of the Kingdom of France, oftenHeldDuring, king’s absence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenHeldDuring Context triple: [Lieutenant-General of the Kingdom of France, oftenHeldDuring, king’s absence]
-
A.
oftenHeldAs
Indicates that one entity is frequently regarded, considered, or believed to be in a particular way with respect to another entity or property.
-
B.
oftenHeldOn
Indicates that an event or activity typically takes place on a particular date, day, or time.
-
C.
oftenHeldWith
Indicates that one entity is frequently possessed, carried, or kept together with another entity at the same time.
-
D.
areHeldIn
Indicates that events, activities, or objects take place or are located within a particular venue, container, or setting.
-
E.
oftenHeldToBe
Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
- 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: May 1, 2026, 1:26 a.m.