Triple
T9177299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tempo |
E220232
|
entity |
| Predicate | associatedWithCompanyDivision |
P45142
|
FINISHED |
| Object | Apple software engineering |
—
|
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: Apple software engineering | Statement: [Tempo, associatedWithCompanyDivision, Apple software engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCompanyDivision Context triple: [Tempo, associatedWithCompanyDivision, Apple software engineering]
-
A.
companyDivision
chosen
Indicates that one entity is a division, branch, or subordinate business unit within the organizational structure of another company entity.
-
B.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
C.
relatedDivision
Indicates that there is an organizational or structural association between two divisions, such as being counterparts, partners, or otherwise linked within a broader entity.
-
D.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
E.
associatedWithCompanyHeadquarters
Indicates that an entity has a relationship or connection to the headquarters location of a specific company.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa60c3c8190b6335b9067de5b72 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.