Triple
T38343507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water Palace |
E1041471
|
entity |
| Predicate | floorsSubmergedDuringHighWater |
P190445
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Water Palace, floorsSubmergedDuringHighWater, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorsSubmergedDuringHighWater Context triple: [Water Palace, floorsSubmergedDuringHighWater, 4]
-
A.
visibleStoreysAboveWater
Indicates the number of building storeys that are above the water surface and can be seen.
-
B.
floodHeight
Indicates the measured vertical level or depth reached by floodwaters at a specific location or time.
-
C.
partiallyInundatedSince
Indicates that an entity has been partially covered or flooded by water starting from a specific point in time and continuing thereafter.
-
D.
hasCauseOfSubmergence
Indicates a relationship where one entity is the cause or reason for another entity becoming submerged or underwater.
-
E.
waterLevelHigherThan
Indicates that the water level of one entity is greater than the water level of another entity.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fcc7a42f68819081d6ec8bb6b53438 |
completed | May 7, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:30 p.m.