Triple
T24283120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night of Measure |
E605595
|
entity |
| Predicate | observationPractice |
P155682
|
FINISHED |
| Object | Qiyam al-Layl |
—
|
NE NERFINISHED |
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: Qiyam al-Layl | Statement: [Night of Measure, observationPractice, Qiyam al-Layl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationPractice Context triple: [Night of Measure, observationPractice, Qiyam al-Layl]
-
A.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
B.
observation
Indicates that one entity perceives, monitors, or takes note of another entity or phenomenon, typically to gather information about it.
-
C.
observationNote
Indicates that there is an associated free-text comment or remark providing additional details or context about an observation.
-
D.
observationBenefit
Indicates that one entity gains an advantage, insight, or positive outcome as a result of observing another entity or phenomenon.
-
E.
domesticObservation
Indicates that an entity observes, monitors, or gathers information about another entity or activity within its own domestic or internal context (e.g., within a country, organization, or household).
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f53a8448190b66f6a97544bacc1 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 18, 2026, 12:08 a.m.