Triple
T28373268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Transatlantic Review |
E718689
|
entity |
| Predicate | editorialOfficeLocatedIn |
P138953
|
FINISHED |
| Object | Paris |
—
|
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: Paris | Statement: [The Transatlantic Review, editorialOfficeLocatedIn, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialOfficeLocatedIn Context triple: [The Transatlantic Review, editorialOfficeLocatedIn, Paris]
-
A.
editorialOffice
Indicates that an entity serves as or is associated with the editorial office responsible for managing editorial processes (such as review, editing, and publication decisions) for another entity.
-
B.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
C.
locationOfEditorialWork
chosen
Indicates the place where an editorial activity or editorial work is carried out or based.
-
D.
headquartersOfOffice
Indicates that a particular location serves as the main headquarters for a specified office or organizational unit.
-
E.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 1:01 a.m.