Triple
T3395354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woodbridge Company |
E71514
|
entity |
| Predicate | hasMajorInvestmentIn |
P17330
|
FINISHED |
| Object | media sector |
—
|
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: media sector | Statement: [The Woodbridge Company, hasMajorInvestmentIn, media sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorInvestmentIn Context triple: [The Woodbridge Company, hasMajorInvestmentIn, media sector]
-
A.
investsIn
chosen
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
B.
hasMajorAsset
Indicates that an entity possesses or controls a primary or most significant asset.
-
C.
hasInvestmentTheme
Indicates that an investment, fund, or financial product is associated with a particular overarching theme or strategic focus (such as technology, sustainability, or healthcare).
-
D.
hasMajorMarket
Indicates that an entity has a primary or most significant market in a specified location or segment.
-
E.
hasPrimaryInvestor
Indicates that an entity has a main or leading investor that provides the primary financial backing or funding.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb85487088190b8a4ec546ff8a461 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.