Triple
T34542577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsue Castle |
E886839
|
entity |
| Predicate | hasCastlePark |
P22590
|
FINISHED |
| Object |
Matsue Jōzan Park
Matsue Jōzan Park is a historic and scenic public park in Matsue, Japan, surrounding the well-preserved Matsue Castle and featuring traditional landscapes and seasonal cherry blossoms.
|
E2100171
|
NE FINISHED |
How this triple was built (3 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: Matsue Jōzan Park | Statement: [Matsue Castle, hasCastlePark, Matsue Jōzan Park]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matsue Jōzan Park Triple: [Matsue Castle, hasCastlePark, Matsue Jōzan Park]
Generated description
Matsue Jōzan Park is a historic and scenic public park in Matsue, Japan, surrounding the well-preserved Matsue Castle and featuring traditional landscapes and seasonal cherry blossoms.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCastlePark Context triple: [Matsue Castle, hasCastlePark, Matsue Jōzan Park]
-
A.
hasCastle
Indicates that one entity possesses, controls, or contains a castle.
-
B.
hasFamousCastle
Indicates that an entity possesses or is the location of a castle that is widely recognized or renowned.
-
C.
hasParks
chosen
Indicates that one entity possesses, contains, or is associated with one or more parks.
-
D.
hasParkDistrict
Indicates that an entity is associated with, located within, or administered by a specific park district.
-
E.
hasCountryPark
Indicates that a place or administrative area contains or is associated with a designated country park.
- F. None of above.
Provenance (6 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3729f36d308190b0fa84342319a487 |
completed | June 21, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_6a372a7b0e7c819089aa1b6bc0e591b2 |
completed | June 21, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a372ae0f804819088e2d3bf0e6813e9 |
completed | June 21, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: May 1, 2026, 2:02 a.m.