Triple
T5877816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himeji Castle |
E130668
|
entity |
| Predicate | originalCastleCountContext |
P67401
|
FINISHED |
| Object | one of twelve remaining original Japanese castles |
—
|
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: one of twelve remaining original Japanese castles | Statement: [Himeji Castle, originalCastleCountContext, one of twelve remaining original Japanese castles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCastleCountContext Context triple: [Himeji Castle, originalCastleCountContext, one of twelve remaining original Japanese castles]
-
A.
goldCastlesNumber
Indicates the number of castles that are made of gold.
-
B.
hasCastle
Indicates that one entity possesses, controls, or contains a castle.
-
C.
eraOfMainCastle
Indicates the historical period or era during which the main castle associated with an entity was built, used, or most prominent.
-
D.
castlePosition
Indicates the spatial location or placement of a castle relative to a reference point or area.
-
E.
hasCastleType
Indicates that an entity is associated with, characterized by, or classified as a specific type of castle.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0432f06fc8190bc047d52ffc30d59 |
completed | March 22, 2026, 7:29 p.m. |
Created at: March 22, 2026, 3:57 p.m.