Triple
T27070340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin I, Margrave of Flanders |
E685306
|
entity |
| Predicate | realmPartOf |
P46950
|
FINISHED |
| Object | West Francia |
—
|
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: West Francia | Statement: [Baldwin I, Margrave of Flanders, realmPartOf, West Francia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realmPartOf Context triple: [Baldwin I, Margrave of Flanders, realmPartOf, West Francia]
-
A.
partOfTerritory
Indicates that one geographic or administrative area is contained within, and forms a constituent portion of, another territory.
-
B.
realmWithin
chosen
Indicates that one realm or domain is contained inside, or exists as a subset of, another realm or domain.
-
C.
deJurePartOf
Indicates that one entity is legally or formally recognized as a constituent part or subdivision of another entity, according to official rules or law.
-
D.
realmAssociatedWith
Indicates an association or connection between an entity and a particular realm, domain, or sphere with which it is linked or to which it pertains.
-
E.
realmSubdivision
Indicates a hierarchical relationship where one realm is a constituent subdivision or part of a larger realm.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623107cf08190af1660cd6987c912 |
completed | May 2, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:27 a.m.