Triple
T9653292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vampirina |
E233386
|
entity |
| Predicate | intendedBroadcastRegion |
P2441
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [Vampirina, intendedBroadcastRegion, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedBroadcastRegion Context triple: [Vampirina, intendedBroadcastRegion, international]
-
A.
broadcastRegion
chosen
Indicates the geographic area or market in which content is transmitted or made available for broadcast.
-
B.
broadcastFor
Indicates that one entity transmits or disseminates content, information, or a signal on behalf of, or in service of, another entity.
-
C.
originallyBroadcastIn
Indicates that a broadcast (such as a TV or radio program) was first aired in a particular country, region, or market.
-
D.
isFrequentlyBroadcastDuring
Indicates that one entity (such as a program, advertisement, or message) is regularly aired or transmitted during another entity (such as a specific time slot, event, or show).
-
E.
regionImplied
Indicates that a broader or more general region is inferred or assumed from a given, more specific regional reference.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb26b748190bc32e2003829b0ec |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:13 p.m.