Triple
T35420362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaganachukki Falls |
E1023766
|
entity |
| Predicate | hasCompanionWaterfall |
P206976
|
FINISHED |
| Object | Barachukki Falls |
E333962
|
NE 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: Barachukki Falls | Statement: [Gaganachukki Falls, hasCompanionWaterfall, Barachukki Falls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionWaterfall Context triple: [Gaganachukki Falls, hasCompanionWaterfall, Barachukki Falls]
-
A.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
B.
hasFamousWaterfall
Indicates that an entity is associated with, contains, or is the location of a well-known or notable waterfall.
-
C.
hasCompanionPillar
Indicates that an entity is associated with or supported by a corresponding companion pillar.
-
D.
hasWaterfallType
Indicates that one entity is characterized by or associated with a specific type or classification of waterfall.
-
E.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
- F. None of above. chosen
Provenance (5 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3852da3f4c8190b8c3ab4884e3ed1e |
completed | June 21, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.