Triple
T30067328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takamatsu Castle |
E764068
|
entity |
| Predicate | moatType |
P168408
|
FINISHED |
| Object | seawater moat |
—
|
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: seawater moat | Statement: [Takamatsu Castle, moatType, seawater moat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moatType Context triple: [Takamatsu Castle, moatType, seawater moat]
-
A.
moatWidth
Indicates the measured width of a moat surrounding or adjacent to a structure or area.
-
B.
hasMoat
Indicates that one entity is surrounded or protected by a moat associated with another entity.
-
C.
fortType
Indicates the specific kind or classification of a fort associated with an entity.
-
D.
typeOfSiege
Indicates the specific kind or category of siege involved in a conflict or military operation.
-
E.
eraOfMainCastle
Indicates the historical period or era during which the main castle associated with an entity was built, used, or most prominent.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ca767788190abd71ea33ce049e5 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:59 p.m.