Triple
T3094337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principles and Parameters Theory |
E64556
|
entity |
| Predicate | parametersCharacterization |
P662
|
FINISHED |
| Object | parameters are points of limited variation across languages |
—
|
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: parameters are points of limited variation across languages | Statement: [Principles and Parameters Theory, parametersCharacterization, parameters are points of limited variation across languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parametersCharacterization Context triple: [Principles and Parameters Theory, parametersCharacterization, parameters are points of limited variation across languages]
-
A.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
mediaCharacterization
Indicates how an entity is portrayed, described, or framed by media sources in terms of attributes, tone, or narrative.
-
C.
serviceCharacterization
Indicates how a service is defined, described, or classified in terms of its properties, behavior, or role.
-
D.
trainingCharacteristic
Indicates that an entity has a specific property, feature, or quality related to training (such as method, intensity, or style).
-
E.
methodCharacteristic
Indicates that a particular method or procedure possesses a specified property, feature, or quality.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada239a8c88190a746892b56ee7e02 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.