Triple
T21975058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangla Lake |
E542682
|
entity |
| Predicate | rankBySizeInCountry |
P31652
|
FINISHED |
| Object | one of the largest reservoirs in Pakistan |
—
|
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 reservoirs in Pakistan | Statement: [Mangla Lake, rankBySizeInCountry, one of the largest reservoirs in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankBySizeInCountry Context triple: [Mangla Lake, rankBySizeInCountry, one of the largest reservoirs in Pakistan]
-
A.
rankingInCountryBySize
chosen
Indicates the position of an entity in an ordered list of entities within a specific country, based on their relative size.
-
B.
regionRankBySize
Indicates the relative ordering of regions based on their physical size, from largest to smallest (or vice versa).
-
C.
rankBySizeInWorld
Indicates that entities are ordered according to their relative size within the context of the entire world.
-
D.
capacityRankInWorld
Indicates the relative position or ranking of an entity’s capacity compared to all similar entities worldwide.
-
E.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12487a1a88190abb8a51fcd533b6a |
completed | April 28, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:03 p.m.