Triple
T27751923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patwa family |
E701232
|
entity |
| Predicate | householdStructure |
P39277
|
FINISHED |
| Object | joint family system |
—
|
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: joint family system | Statement: [Patwa family, householdStructure, joint family system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: householdStructure Context triple: [Patwa family, householdStructure, joint family system]
-
A.
householdStatus
Indicates the type or condition of a person’s living arrangement within a household, such as their role, membership, or current residency status.
-
B.
familySize
Indicates the number of individuals that belong to a given family unit.
-
C.
familyType
chosen
Indicates the specific familial relationship or category that characterizes how the related entities are connected as family.
-
D.
houseOrFamily
Indicates that two entities are related through a shared house, household, or family membership.
-
E.
householdTypeAtNumber4
Indicates the type or classification of the household associated with entity number 4.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 4:21 p.m.