Triple
T38282575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chehlum |
E1022116
|
entity |
| Predicate | dayCountFromEvent |
P190605
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Chehlum, dayCountFromEvent, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayCountFromEvent Context triple: [Chehlum, dayCountFromEvent, 40]
-
A.
dayCountDependsOn
Indicates that the number of days for one element is determined or constrained by another element.
-
B.
monthsBeforeEvent
Indicates that one temporal entity occurs a specified number of months before a referenced event.
-
C.
hasDayCount
Indicates that an entity is associated with a specific number of days, expressing the duration or count of days related to it.
-
D.
specialDaysCount
Indicates the number of special or designated days associated with an entity or time period.
-
E.
occursNumberOfDaysBefore
Indicates that one event or time point happens a specified number of days earlier than another event or time point.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.