Triple
T16600208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Association of Letter Carriers |
E403310
|
entity |
| Predicate | representsLaborType |
P108030
|
FINISHED |
| Object | city delivery |
—
|
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: city delivery | Statement: [National Association of Letter Carriers, representsLaborType, city delivery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsLaborType Context triple: [National Association of Letter Carriers, representsLaborType, city delivery]
-
A.
hasLaborRepresentation
Indicates that an entity is represented by a labor organization, such as a union or workers’ council, in employment-related matters.
-
B.
laborSystem
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
-
C.
representedEmployeeType
chosen
Indicates that one entity serves as a representative or exemplar of a particular type or category of employee for another entity.
-
D.
laborNumber
Indicates a relationship where a specific labor or work assignment is identified or referenced by a unique number.
-
E.
representsWorkersOf
Indicates a relationship where one entity denotes or stands for the workers 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d75772c8190b02aef02ea6788e1 |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.