Triple
T29822083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 108-25 |
E757269
|
entity |
| Predicate | placesIn |
P6528
|
FINISHED |
| Object | United States Department of State |
—
|
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 State | Statement: [Public Law 108-25, placesIn, United States Department of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placesIn Context triple: [Public Law 108-25, placesIn, United States Department of State]
-
A.
places
Indicates that one entity assigns, positions, or puts another entity into a specific location, role, or context.
-
B.
placesInQuestion
Indicates that an entity is located within, or occurs in, the spatial or contextual scope defined by a given question.
-
C.
placesWithin
chosen
Indicates that one place or area is located entirely inside the boundaries of another place or area.
-
D.
placesInContext
Indicates that one entity situates, interprets, or frames another entity within a particular context or surrounding circumstances.
-
E.
placeType
Indicates the type or category of place associated with an entity (e.g., city, park, building).
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 29, 2026, 5:29 p.m.