Triple
T34280797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASILIA |
E879584
|
entity |
| Predicate | refersToPositionIn |
P15985
|
FINISHED |
| Object | United States Department of Labor |
—
|
NE NERFINISHED |
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: United States Department of Labor | Statement: [ASILIA, refersToPositionIn, United States Department of Labor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPositionIn Context triple: [ASILIA, refersToPositionIn, United States Department of Labor]
-
A.
refersToPosition
Indicates that one entity makes reference to, or is associated with, a specific position or location of another entity.
-
B.
refersToPositionPlayed
Indicates that one entity specifies or identifies the playing position or role occupied by another entity in a game or sport.
-
C.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
D.
refersToLocation
chosen
Indicates that one entity designates, points to, or identifies a specific location associated with it.
-
E.
appliesToPosition
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 1:57 a.m.