Triple
T21359662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etchū Province |
E526735
|
entity |
| Predicate | wasMappedIn |
P49449
|
FINISHED |
| Object | Edo-period provincial maps |
—
|
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: Edo-period provincial maps | Statement: [Etchū Province, wasMappedIn, Edo-period provincial maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMappedIn Context triple: [Etchū Province, wasMappedIn, Edo-period provincial maps]
-
A.
mapped
Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
-
B.
wasIn
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
C.
firstFullyMappedIn
chosen
Indicates the earliest point (such as a version, release, or time) at which something was completely mapped or fully represented for the first time.
-
D.
mapsTo
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
E.
hasMaps
Indicates that one entity possesses, includes, or provides access to one or more maps associated with another 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:07 p.m.