Triple
T12823461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humble Administrator's Garden |
E306588
|
entity |
| Predicate | waterCoverage |
P475
|
FINISHED |
| Object | about one-third of total area |
—
|
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: about one-third of total area | Statement: [Humble Administrator's Garden, waterCoverage, about one-third of total area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterCoverage Context triple: [Humble Administrator's Garden, waterCoverage, about one-third of total area]
-
A.
hasAreaWaterBody
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
B.
hasWaterFeatures
Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
-
C.
surfaceWater
Indicates that one entity consists of or contains surface-level water associated with another entity.
-
D.
waterPresence
Indicates the existence or amount of water present in or around a specified entity or location.
-
E.
areaWater
chosen
Indicates the relationship between a geographic entity and the total area of its surface that is covered by water.
- F. None of above.
Provenance (3 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9fcc8c8190a926ab0481d28f14 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:32 p.m.