Triple
T36633906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapter One: Latin America |
E904399
|
entity |
| Predicate | hasOriginalReleaseLocation |
P125457
|
FINISHED |
| Object | United States |
—
|
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 | Statement: [Chapter One: Latin America, hasOriginalReleaseLocation, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalReleaseLocation Context triple: [Chapter One: Latin America, hasOriginalReleaseLocation, United States]
-
A.
locationOfOriginals
Indicates the place where the original versions or source items of something are kept or found.
-
B.
originallyProducedIn
chosen
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
C.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
D.
hasOriginalLocation
Indicates that an entity was initially located or situated at a specified place or position before any change or movement occurred.
-
E.
hasOriginalAlbumRelease
Indicates that an album or musical work is associated with its first official release instance or edition.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: May 3, 2026, 4:11 p.m.