Triple
T212933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajj |
E4755
|
entity |
| Predicate | frequencyRequirement |
P8512
|
FINISHED |
| Object | once in a lifetime |
—
|
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: once in a lifetime | Statement: [Hajj, frequencyRequirement, once in a lifetime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyRequirement Context triple: [Hajj, frequencyRequirement, once in a lifetime]
-
A.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
B.
frequencyBand
Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
-
C.
requires
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
-
D.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
E.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
- 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.