Triple
T1324367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramadan |
E28290
|
entity |
| Predicate | associatedNightTiming |
P26548
|
FINISHED |
| Object | one of the last ten nights |
—
|
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: one of the last ten nights | Statement: [Ramadan, associatedNightTiming, one of the last ten nights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedNightTiming Context triple: [Ramadan, associatedNightTiming, one of the last ten nights]
-
A.
nightService
Indicates that a service operates or is available during nighttime hours.
-
B.
nightServicePattern
Indicates that a service or operation follows a specific pattern or schedule that applies only during nighttime hours.
-
C.
prominentAtNight
Indicates that an entity becomes especially noticeable, visible, or significant during nighttime conditions.
-
D.
expectedFirstLight
Indicates the anticipated time or occurrence of the first appearance of light, such as dawn or initial illumination, in a given context.
-
E.
observesSameTimeAs
Indicates that two observation events occur simultaneously or during the same time interval.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.