Triple
T20246730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takakkaw Falls |
E498442
|
entity |
| Predicate | hasMainDropHeight |
P9788
|
FINISHED |
| Object | about 254 metres |
—
|
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 254 metres | Statement: [Takakkaw Falls, hasMainDropHeight, about 254 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainDropHeight Context triple: [Takakkaw Falls, hasMainDropHeight, about 254 metres]
-
A.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
hasSignificantHeight
Indicates that one entity’s height is notably large or substantial relative to a given standard or to other entities.
-
C.
hasDropType
Indicates that an entity is associated with a specific type or category of drop (e.g., item, reward, or resource obtained).
-
D.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
E.
hasMainElements
Indicates that something possesses or is composed of its primary or most important constituent parts.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a3c61481909413e042d76cc580 |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:40 p.m.