Triple
T7885193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical Chamber of Greece |
E183083
|
entity |
| Predicate | hasProfessionalTitleAuthority |
P79561
|
FINISHED |
| Object | engineer in Greece |
—
|
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: engineer in Greece | Statement: [Technical Chamber of Greece, hasProfessionalTitleAuthority, engineer in Greece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalTitleAuthority Context triple: [Technical Chamber of Greece, hasProfessionalTitleAuthority, engineer in Greece]
-
A.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
B.
hasAuthorTitle
Indicates that an author holds or is designated by a specific title (e.g., professional, honorific, or role-based).
-
C.
authorizedByTitle
Indicates that an action or permission is granted based on a person’s role, position, or formal title rather than on individual identity.
-
D.
hasHonoraryTitle
Indicates that an entity has been granted a formal honorary title or distinction, typically in recognition of merit or achievement.
-
E.
hasRepresentativeTitle
Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d62a148190bed4e0d199aa427b |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:59 p.m.