Triple
T970048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple TV+ |
E20924
|
entity |
| Predicate | availableIn |
P795
|
FINISHED |
| Object | Asia-Pacific |
E5562
|
NE 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: Asia-Pacific | Statement: [Apple TV+, availableIn, Asia-Pacific]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asia-Pacific Context triple: [Apple TV+, availableIn, Asia-Pacific]
-
A.
Asia-Pacific
chosen
Asia-Pacific is a vast geopolitical and economic region encompassing East Asia, Southeast Asia, Oceania, and surrounding Pacific areas, known for its dynamic economies and strategic global importance.
-
B.
Asia
Asia is a British rock supergroup formed in the early 1980s, known for its melodic progressive rock sound and hits like "Heat of the Moment."
-
C.
Asia
Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
-
D.
Asia
Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
-
E.
Asia
Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4497d688190b59c3a195e377080 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac82f9610c819094bc8d9e5f242816 |
completed | March 7, 2026, 7:56 p.m. |
Created at: March 1, 2026, 7:40 p.m.