Triple
T7039723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grocon |
E163477
|
entity |
| Predicate | hasBeenInvolvedIn |
P74692
|
FINISHED |
| Object | public–private partnership projects |
—
|
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: public–private partnership projects | Statement: [Grocon, hasBeenInvolvedIn, public–private partnership projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenInvolvedIn Context triple: [Grocon, hasBeenInvolvedIn, public–private partnership projects]
-
A.
hasMemberInvolvedIn
Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
-
B.
hasPeopleInvolved
Indicates that certain people participate in, are associated with, or are otherwise involved in the referenced entity or event.
-
C.
oftenInvolvedWith
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
-
D.
formerlyInvolved
Indicates that an entity previously participated in or was associated with another entity or activity, but is no longer involved.
-
E.
questInvolvedIn
Indicates that an entity participates in, is associated with, or plays a role in a particular quest or mission.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:36 p.m.