Triple
T20660967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Put First Things First |
E507758
|
entity |
| Predicate | habitNumber |
P140955
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Put First Things First, habitNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: habitNumber Context triple: [Put First Things First, habitNumber, 3]
-
A.
lifeHabit
Indicates the typical way an organism lives or behaves in its environment, such as its mode of life, activity pattern, or ecological lifestyle.
-
B.
hasHabit
Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
-
C.
habitIncludes
Indicates that a particular habit encompasses, involves, or is composed of a specified activity, behavior, or element.
-
D.
modernHabit
Indicates a habit or practice that is characteristic of contemporary or present-day lifestyles or behavior.
-
E.
eatingHabit
Indicates a characteristic pattern or regularity in how an entity consumes food, such as what, when, or how it typically eats.
- F. None of above. chosen
Provenance (4 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f16adc8190b2b9a69586fa7444 |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:44 a.m.