Triple
T5601088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangla Dam |
E147120
|
entity |
| Predicate | regionRankBySize |
P64984
|
FINISHED |
| Object | one of the largest earth-fill dams in the world |
—
|
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: one of the largest earth-fill dams in the world | Statement: [Mangla Dam, regionRankBySize, one of the largest earth-fill dams in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionRankBySize Context triple: [Mangla Dam, regionRankBySize, one of the largest earth-fill dams in the world]
-
A.
rankingInCountryBySize
Indicates the position of an entity in an ordered list of entities within a specific country, based on their relative size.
-
B.
rankInWorldByArea
Indicates the position of an entity in a global ordering based on its total area size.
-
C.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
D.
continentRankByPopulation
Indicates the relative position of a continent in an ordered list based on its population size.
-
E.
continentRankByArea
Indicates the relative position of a continent in an ordered list based on its total land area.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020da519c81908626b243e40db263 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:39 p.m.