Triple
T19032108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traditional quarter Varosi |
E465765
|
entity |
| Predicate | elevationAboveWaterfalls |
P42848
|
FINISHED |
| Object | overlooking waterfall gorge |
—
|
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: overlooking waterfall gorge | Statement: [Traditional quarter Varosi, elevationAboveWaterfalls, overlooking waterfall gorge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationAboveWaterfalls Context triple: [Traditional quarter Varosi, elevationAboveWaterfalls, overlooking waterfall gorge]
-
A.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
heightAboveFalls
chosen
Indicates that one entity is located at a higher elevation than a waterfall or waterfalls associated with another entity.
-
C.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
D.
elevationAboveWater
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
-
E.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.