Triple
T7375845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapala |
E170119
|
entity |
| Predicate | locatedInCountryLargestFreshwaterLakeRegion |
P19444
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chapala, locatedInCountryLargestFreshwaterLakeRegion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCountryLargestFreshwaterLakeRegion Context triple: [Chapala, locatedInCountryLargestFreshwaterLakeRegion, true]
-
A.
largestLakeEntirelyIn
Indicates that one entity is the largest lake located entirely within the boundaries of another entity (such as a country, region, or territory).
-
B.
isLargestFreshwaterLakeIn
chosen
Indicates that a lake is the largest freshwater lake within the specified geographic region or area.
-
C.
isOneOfLargestLakesByArea
Indicates that the subject lake ranks among the largest lakes in terms of surface area.
-
D.
largestLagoonOn
Indicates that one entity is the largest lagoon located on or associated with the surface of another entity.
-
E.
isFourthLargestNaturalFreshwaterLakeIn
Indicates that a lake is the fourth largest natural freshwater lake within a specified geographic region or area.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a780f88190abf11994e307b6ad |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.