Triple
T6045542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acolhua |
E134656
|
entity |
| Predicate | hadEducationSystem |
P340
|
FINISHED |
| Object | calmecac-style elite education |
—
|
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: calmecac-style elite education | Statement: [Acolhua, hadEducationSystem, calmecac-style elite education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadEducationSystem Context triple: [Acolhua, hadEducationSystem, calmecac-style elite education]
-
A.
educationSystem
chosen
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
B.
introducedEducationSystem
Indicates that an entity established or brought a particular education system into use for another entity or context.
-
C.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
D.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
-
E.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.