Triple
T15098384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torch Media Inc. |
E360598
|
entity |
| Predicate | mainProductIncludes |
P44684
|
FINISHED |
| Object | custom start page |
—
|
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: custom start page | Statement: [Torch Media Inc., mainProductIncludes, custom start page]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainProductIncludes Context triple: [Torch Media Inc., mainProductIncludes, custom start page]
-
A.
productIncludes
chosen
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
B.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
-
C.
orderIncludes
Indicates that a particular order contains or comprises the specified item(s) or component(s).
-
D.
equipmentIncludes
Indicates that one entity contains, comprises, or has as part of its set of items a specified piece or set of equipment.
-
E.
brandIncludes
Indicates that a broader brand or brand portfolio encompasses, owns, or contains the specified sub-brand, product line, or branded entity.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.