Triple
T5037696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Chad |
E113465
|
entity |
| Predicate | area1960s |
P7068
|
FINISHED |
| Object | approximately 25,000 square kilometers |
—
|
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: approximately 25,000 square kilometers | Statement: [Lake Chad, area1960s, approximately 25,000 square kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: area1960s Context triple: [Lake Chad, area1960s, approximately 25,000 square kilometers]
-
A.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
B.
countryAfter1961
Indicates that one entity is recognized as a country at some point after the year 1961.
-
C.
regionAfter1945
Indicates that one region exists as the geopolitical or administrative successor of another region after the year 1945.
-
D.
foundingDecade
Indicates the decade during which an entity (such as an organization, institution, or company) was founded.
-
E.
decade
chosen
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73daaa788190b670f6c328bfa44f |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.