Triple
T35426734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milner-Barry Gambit in the French Defence |
E1023939
|
entity |
| Predicate | learningFocus |
P6235
|
FINISHED |
| Object | understanding compensation for material |
—
|
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: understanding compensation for material | Statement: [Milner-Barry Gambit in the French Defence, learningFocus, understanding compensation for material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learningFocus Context triple: [Milner-Barry Gambit in the French Defence, learningFocus, understanding compensation for material]
-
A.
educationalFocus
chosen
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
B.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
C.
educationGoal
Indicates a relationship where an entity has a specific educational aim, objective, or intended learning outcome it is working toward.
-
D.
studentEngagementFocus
Indicates that the primary emphasis of an activity, strategy, or context is on promoting, sustaining, or enhancing students’ active engagement.
-
E.
focusMode
Indicates that an entity is currently in a concentrated or distraction-minimized state directed toward a specific task, target, or context.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:03 p.m.