Triple
T3214566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutual Broadcasting System |
E67358
|
entity |
| Predicate | peakAffiliatesNumber |
P4549
|
FINISHED |
| Object | over 500 |
—
|
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 500 | Statement: [Mutual Broadcasting System, peakAffiliatesNumber, over 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakAffiliatesNumber Context triple: [Mutual Broadcasting System, peakAffiliatesNumber, over 500]
-
A.
numberOfAssociateMembers
Indicates the total count of associate members linked to a given entity.
-
B.
memberCountAtPeak
chosen
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
C.
hasAffiliate
Indicates that one entity is formally associated with another as an affiliate, typically through a partnership, membership, or subordinate organizational relationship.
-
D.
affiliateOfType
Indicates that an affiliate entity belongs to, or is categorized under, a specific type or classification.
-
E.
mediaAffiliate
Indicates a relationship where one media entity is affiliated with, partnered to, or formally associated with another media organization or outlet.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.