Triple
T35549898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Mexico–Canada Agreement region (US) |
E1027325
|
entity |
| Predicate | laborChapterParty |
P183236
|
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: [United States–Mexico–Canada Agreement region (US), laborChapterParty, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborChapterParty Context triple: [United States–Mexico–Canada Agreement region (US), laborChapterParty, yes]
-
A.
ledPoliticalParty
Indicates that one entity served as the leader or head of a particular political party.
-
B.
partyOrganization
Indicates that an entity is an organized group or body formed to participate collectively in a party-related context, such as politics, events, or social activities.
-
C.
ledByParty
Indicates that an organization, group, or governing body is under the leadership or control of a specified political party.
-
D.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
E.
hasLabourAffiliation
Indicates that an entity is associated with, belongs to, or is formally connected to a labor organization, union, or labor-related group.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.