Triple
T33926003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramsdale, New Hampshire |
E869752
|
entity |
| Predicate | regionContextInFiction |
P114636
|
FINISHED |
| Object | American suburbia |
—
|
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: American suburbia | Statement: [Ramsdale, New Hampshire, regionContextInFiction, American suburbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionContextInFiction Context triple: [Ramsdale, New Hampshire, regionContextInFiction, American suburbia]
-
A.
associatedWithRegionInFiction
Indicates that, within a fictional context, an entity is linked or connected to a particular region or geographic area.
-
B.
fictionalSettingRegion
chosen
Indicates that a fictional setting is located within or associated with a specific geographic or administrative region.
-
C.
fictionalRegionalIdentity
Indicates that an entity is associated with, or characterized by, an invented or imaginary regional or local identity.
-
D.
workOfFictionSetting
Indicates that a work of fiction is set in, or primarily takes place within, a particular location, time, or environment.
-
E.
locationWithinFiction
Indicates that one fictional location is situated inside or contained within another fictional location.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
Created at: May 1, 2026, 1:49 a.m.