Triple
T3269691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis IV, Holy Roman Emperor |
E68613
|
entity |
| Predicate | imperialCoronationDate |
P1508
|
FINISHED |
| Object | 1328-01-17 |
—
|
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: 1328-01-17 | Statement: [Louis IV, Holy Roman Emperor, imperialCoronationDate, 1328-01-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imperialCoronationDate Context triple: [Louis IV, Holy Roman Emperor, imperialCoronationDate, 1328-01-17]
-
A.
coronationDate
chosen
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
B.
coronationAsCoEmperorDate
Indicates the date on which an individual was formally crowned or installed as a co-emperor alongside another reigning emperor.
-
C.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given entity.
-
D.
firstCoronationHeldFor
Indicates that a particular entity was the subject or beneficiary of the first coronation event associated with another entity.
-
E.
coronationEvent
Indicates the event in which a person is formally invested with royal authority and crowned as a monarch.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafd0eddc8190834a64f6b8e8e9f9 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.