Triple
T29867555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revit Technology Corporation |
E758496
|
entity |
| Predicate | acquisitionTargetOf |
P50794
|
FINISHED |
| Object | Autodesk |
—
|
NE NERFINISHED |
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: Autodesk | Statement: [Revit Technology Corporation, acquisitionTargetOf, Autodesk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionTargetOf Context triple: [Revit Technology Corporation, acquisitionTargetOf, Autodesk]
-
A.
acquisitionTarget
chosen
Indicates that one entity is the intended or actual company or asset being acquired by another in a merger or acquisition transaction.
-
B.
couldBeAcquiredBy
Indicates that one entity is a potential target to be obtained, bought, or taken over by another entity.
-
C.
acquiredFor
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
D.
acquisitionResultedIn
Indicates that an acquisition event led to a particular outcome, state, or consequence for the involved entities.
-
E.
acquisition
Indicates the act or relationship in which one entity obtains ownership or control of another entity, asset, or resource.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 5:52 p.m.