Triple
T32196945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 98-575 |
E822426
|
entity |
| Predicate | originallyPlacedIn |
P13656
|
FINISHED |
| Object | Department of Transportation |
—
|
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: Department of Transportation | Statement: [Public Law 98-575, originallyPlacedIn, Department of Transportation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyPlacedIn Context triple: [Public Law 98-575, originallyPlacedIn, Department of Transportation]
-
A.
originallyIn
chosen
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
B.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
C.
originallyHostedAt
Indicates the location or venue where something was first hosted or took place before any subsequent moves or changes.
-
D.
firstProductionPlace
Indicates the location where something was originally or first produced.
-
E.
originallyHad
Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0174e8b5b481908bf0c6d3d5b0f3b6 |
completed | May 11, 2026, 6:19 a.m. |
| PD | Predicate disambiguation | batch_6a01748d65248190ac3d9adfa9d0b274 |
completed | May 11, 2026, 6:17 a.m. |
Created at: May 1, 2026, 12:36 a.m.