Triple
T35221668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokuon-ji |
E1016973
|
entity |
| Predicate | foundedAsVillaOf |
P198588
|
FINISHED |
| Object | Saionji family |
—
|
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: Saionji family | Statement: [Rokuon-ji, foundedAsVillaOf, Saionji family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsVillaOf Context triple: [Rokuon-ji, foundedAsVillaOf, Saionji family]
-
A.
foundedAsCityBy
Indicates that a city was originally established or created by a specific person, group, or authority.
-
B.
foundedCityOnSiteOf
Indicates that a city was established on the same physical location where another settlement or city previously existed.
-
C.
becameRomanColony
Indicates that a place or community transitioned into the formal status of a Roman colony under Roman authority.
-
D.
foundedCityInHonorOf
Indicates that a city was established and named specifically to honor a particular person, group, or entity.
-
E.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
- F. None of above. chosen
Provenance (4 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 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. |
| PDg | Predicate description generation | batch_69fef3cdea708190af41c1ff23b68f88 |
completed | May 9, 2026, 8:43 a.m. |
Created at: May 3, 2026, 4:02 p.m.