Triple
T3590321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Distribution des Aigles |
E76009
|
entity |
| Predicate | portraysEventType |
P6686
|
FINISHED |
| Object | military investiture |
—
|
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: military investiture | Statement: [La Distribution des Aigles, portraysEventType, military investiture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysEventType Context triple: [La Distribution des Aigles, portraysEventType, military investiture]
-
A.
portraysEvent
chosen
Indicates that one entity depicts, represents, or illustrates a particular event.
-
B.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
C.
eventDescription
Indicates that a textual summary or explanation is provided describing what happens in the event.
-
D.
servesEventType
Indicates that an entity provides or supports a particular type or category of event.
-
E.
eventName
Indicates the specific label or title assigned to identify an event within a system or 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13c9514819096adf60b15016b8b |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.