Triple
T444400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Geographer |
E10184
|
entity |
| Predicate | subjectActivity |
P81
|
FINISHED |
| Object | studying maps |
—
|
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: studying maps | Statement: [The Geographer, subjectActivity, studying maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectActivity Context triple: [The Geographer, subjectActivity, studying maps]
-
A.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
B.
activity
chosen
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
C.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
D.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
E.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef459800819083cd9eef3e7b5295 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.