Triple
T29760196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONZ |
E753741
|
entity |
| Predicate | associatedOrderAbbreviation |
P207176
|
FINISHED |
| Object | ONZ |
E753741
|
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: ONZ | Statement: [ONZ, associatedOrderAbbreviation, ONZ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedOrderAbbreviation Context triple: [ONZ, associatedOrderAbbreviation, ONZ]
-
A.
relatedOrganizationAbbreviation
Indicates that one organization is associated with another through a specific abbreviated form of its name or title.
-
B.
affiliationAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of the name of an organization or affiliation.
-
C.
secondPartyAbbreviation
Indicates that an abbreviated or shortened form of the second party’s name or designation is being specified or referenced in the relationship.
-
D.
sponsoringOrganizationAbbreviation
Indicates the abbreviated name or acronym of the organization that sponsors or supports an entity or activity.
-
E.
parentOrganizationAbbreviation
Indicates that the object is the abbreviated name or acronym of the subject’s parent organization.
- F. None of above. chosen
Provenance (5 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26c8ed270481909286517987e89711 |
completed | June 8, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 28, 2026, 8:32 p.m.