Triple
T32821090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enryaku era |
E839436
|
entity |
| Predicate | locationOfCapital |
P37327
|
FINISHED |
| Object | Nagaoka-kyō |
E525046
|
NE 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: Nagaoka-kyō | Statement: [Enryaku era, locationOfCapital, Nagaoka-kyō]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfCapital Context triple: [Enryaku era, locationOfCapital, Nagaoka-kyō]
-
A.
capitalLocation
chosen
Indicates the relationship in which a place serves as the capital city or administrative center of a given political or geographic entity.
-
B.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
-
C.
provinceCapitalLocatedOn
Indicates that the capital of a province is geographically situated on or alongside a specified physical feature or location (such as a river, coast, or lake).
-
D.
currentLocationOfCapital
Indicates the present-day geographic location where a capital city is situated.
-
E.
capitalOftenLocatedIn
Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
- F. None of above.
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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a03213d35788190bdf04e19625b4060 |
completed | May 12, 2026, 12:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a81db1e44fc81908e774fead48fcc17 |
completed | Aug. 16, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_6a031ea131d48190ab0fecb48b8e2205 |
completed | May 12, 2026, 12:35 p.m. |
Created at: May 1, 2026, 1:15 a.m.