Triple
T37061320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宇治市 |
E917330
|
entity |
| Predicate | 象徴的景観 |
P187299
|
FINISHED |
| Object | 宇治川と宇治橋 |
—
|
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: 宇治川と宇治橋 | Statement: [宇治市, 象徴的景観, 宇治川と宇治橋]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 象徴的景観 Context triple: [宇治市, 象徴的景観, 宇治川と宇治橋]
-
A.
Gelände
Indicates a relationship where something is located on, takes place in, or is associated with a specific area of land or terrain.
-
B.
الغطاء النباتي
Indicates the presence, extent, or characteristics of plant cover in a given area.
-
C.
Towheads
Indicates a relationship where entities are characterized by having very light blond hair.
-
D.
التيجان والأوسمة
Indicates the relationship of conferring, wearing, or possessing crowns and decorations (such as medals or orders of honor) as marks of rank, distinction, or recognition.
-
E.
جایگاه
Indicates a positional or hierarchical relationship specifying the place, rank, or status of one entity relative to others.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.