Triple
T12562604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybase |
E295385
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | PowerBuilder |
E63065
|
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: PowerBuilder | Statement: [Sybase, product, PowerBuilder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PowerBuilder Context triple: [Sybase, product, PowerBuilder]
-
A.
APS DSOFT
APS DSOFT is the American Physical Society’s Division of Soft Matter, a professional unit focused on research and collaboration in soft condensed matter physics.
-
B.
Embarcadero Technologies
chosen
Embarcadero Technologies is a software company best known for developing database tools and the Delphi rapid application development environment for Windows and cross-platform applications.
-
C.
Embarcadero
Embarcadero is a historic waterfront district in San Francisco known for its piers, ferry terminal, and scenic promenade along the bay.
-
D.
PeopleCode
PeopleCode is an object-oriented, proprietary programming language used to customize and extend Oracle’s PeopleSoft enterprise applications.
-
E.
VisualWorks
VisualWorks is a prominent commercial implementation of the Smalltalk programming language, known for its powerful development environment and cross-platform capabilities.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:48 p.m.