Triple
T31097390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCL Construction |
E792569
|
entity |
| Predicate | hasEmployeeOwnershipPlan |
P10988
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [PCL Construction, hasEmployeeOwnershipPlan, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmployeeOwnershipPlan Context triple: [PCL Construction, hasEmployeeOwnershipPlan, yes]
-
A.
hasEmployeeOwnershipElement
Indicates that something includes or involves an element of ownership held by its employees.
-
B.
hasPlanOrganization
Indicates that an entity is associated with, or belongs to, a specific organizational unit responsible for planning or plan-related activities.
-
C.
hasPlan
chosen
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
D.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
E.
hasIPOwner
Indicates that one entity holds ownership or legal rights over the intellectual property associated with another entity.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:03 p.m.