Triple
T31173408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | a post-apocalyptic Boston |
E794673
|
entity |
| Predicate | geographicallyCorrespondsTo |
P46174
|
FINISHED |
| Object | Boston metropolitan area |
—
|
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: Boston metropolitan area | Statement: [a post-apocalyptic Boston, geographicallyCorrespondsTo, Boston metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicallyCorrespondsTo Context triple: [a post-apocalyptic Boston, geographicallyCorrespondsTo, Boston metropolitan area]
-
A.
correspondsToCountry
Indicates that one entity is associated with, matches, or represents a specific country.
-
B.
territoryCorrespondedTo
Indicates that one territory matched, aligned with, or was equivalent to another territory in scope, boundaries, or designation.
-
C.
regionCorrespondsRoughlyTo
chosen
Indicates that one region approximately matches or aligns with another in location, extent, or boundaries, but not with precise or exact correspondence.
-
D.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
E.
geographicallyDefinedAs
Indicates that one entity’s geographic extent, boundaries, or location is defined or characterized in terms of another geographic 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 29, 2026, 9:07 p.m.