Triple
T10854035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal Cross |
E256224
|
entity |
| Predicate | eventAttendance |
P2636
|
FINISHED |
| Object | over one million people |
—
|
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: over one million people | Statement: [Papal Cross, eventAttendance, over one million people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventAttendance Context triple: [Papal Cross, eventAttendance, over one million people]
-
A.
laterAttends
Indicates that one entity attends an event or place at a time later than another referenced attendance.
-
B.
eventParticipant
Indicates that an entity takes part in, is involved in, or participates in a particular event.
-
C.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
D.
attendance
chosen
Indicates the relationship between an event and the people who are present at or participate in that event.
-
E.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751351a0c8190b38c14888c5e4275 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.