Triple
T4619494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telpochcalli |
E100942
|
entity |
| Predicate | ageRangeOfStudents |
P2736
|
FINISHED |
| Object | approximately 15 to 20 years |
—
|
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 15 to 20 years | Statement: [Telpochcalli, ageRangeOfStudents, approximately 15 to 20 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeOfStudents Context triple: [Telpochcalli, ageRangeOfStudents, approximately 15 to 20 years]
-
A.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
gradeRange
Indicates the span of grades or scores that an item, performance, or entity falls within.
-
C.
rankOfTypicalStudents
Indicates the usual or most common rank or standing that students hold within a given group or context.
-
D.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
-
E.
hasApproximateStudents
Indicates that an entity is associated with an estimated or approximate number of students, rather than an exact count.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e3e6948190925e2cfad20dcc8c |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.