Triple
T28444518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OzEmail |
E715802
|
entity |
| Predicate | acquisitionIndustryOfBuyer |
P167357
|
FINISHED |
| Object | telecommunications |
—
|
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: telecommunications | Statement: [OzEmail, acquisitionIndustryOfBuyer, telecommunications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionIndustryOfBuyer Context triple: [OzEmail, acquisitionIndustryOfBuyer, telecommunications]
-
A.
acquisitionTargetIndustry
Indicates the industry or sector in which the company being acquired operates.
-
B.
laterAcquiredBy
Indicates that one entity was acquired by another entity at a later point in time, after some prior state or ownership.
-
C.
wasAcquiredIn
Indicates that one entity obtained ownership or control of another entity through an acquisition event that occurred at a specific time or in a specific transaction.
-
D.
couldBeAcquiredBy
Indicates that one entity is a potential target to be obtained, bought, or taken over by another entity.
-
E.
acquiredCompany
Indicates that one entity has purchased and taken ownership or control of another company.
- F. None of above. chosen
Provenance (4 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 1:48 a.m.