Triple
T1901437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtana |
E37696
|
entity |
| Predicate | presentDuring |
P2636
|
FINISHED |
| Object | procession to the coronation |
—
|
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: procession to the coronation | Statement: [Curtana, presentDuring, procession to the coronation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDuring Context triple: [Curtana, presentDuring, procession to the coronation]
-
A.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
B.
presentedBy
Indicates that something (such as an event, performance, or work) is formally organized, hosted, or introduced by a particular person or entity.
-
C.
ownedDuring
Indicates that one entity possessed or held ownership of another entity for some or all of a specified time interval.
-
D.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
-
E.
attendance
chosen
Indicates the relationship between an event and the people who are present at or participate in that event.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.