Triple
T612835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romani |
E12137
|
entity |
| Predicate | currentLifestyle |
P3562
|
FINISHED |
| Object | largely sedentary |
—
|
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: largely sedentary | Statement: [Romani, currentLifestyle, largely sedentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLifestyle Context triple: [Romani, currentLifestyle, largely sedentary]
-
A.
lifestyle
chosen
Indicates that an entity’s way of living or habitual behaviors are associated with, influence, or characterize another entity or outcome.
-
B.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
C.
currentLivingStandard
Indicates the present quality or level of material well-being and daily living conditions experienced by an entity.
-
D.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
E.
activityLocation
Indicates the place or setting where an activity occurs or is carried out.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e08dbf88190ab050078a63e266b |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.