Triple
T36892386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakewood Church |
E911780
|
entity |
| Predicate | attendanceCategory |
P186652
|
FINISHED |
| Object | megachurch (over 10,000 weekly attendees) |
—
|
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: megachurch (over 10,000 weekly attendees) | Statement: [Lakewood Church, attendanceCategory, megachurch (over 10,000 weekly attendees)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceCategory Context triple: [Lakewood Church, attendanceCategory, megachurch (over 10,000 weekly attendees)]
-
A.
attendanceRole
Indicates the specific capacity or role in which an entity participates in an attendance-related event or activity.
-
B.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
C.
attendanceFeature
Indicates that an entity provides or is associated with a feature or functionality related to attendance (such as tracking, managing, or recording attendance).
-
D.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an event.
-
E.
attendancePromotion
Indicates a relationship where one entity promotes, encourages, or incentivizes attendance at an event, activity, or location for another entity.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.