Triple
T213064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eid al-Fitr |
E4757
|
entity |
| Predicate | childCustom |
P8518
|
FINISHED |
| Object | children often receive gifts or money |
—
|
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: children often receive gifts or money | Statement: [Eid al-Fitr, childCustom, children often receive gifts or money]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childCustom Context triple: [Eid al-Fitr, childCustom, children often receive gifts or money]
-
A.
children
Indicates that one entity is the offspring or direct descendant of another entity.
-
B.
onlyChildOf
Indicates that one person is the sole child of another, with no siblings.
-
C.
custom
Indicates that something is specially created, configured, or tailored for a particular purpose, context, or user rather than being standard or generic.
-
D.
grandchild
Indicates that one entity is the child of another entity’s child, i.e., a descendant two generations down.
-
E.
grandchildren
Indicates a familial relationship where one entity is the child of another entity’s child.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c313d108190a65d3e939f961bef |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b509400819093a6c1a1bac861e3 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.