Triple
T29585370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopians |
E753704
|
entity |
| Predicate | timekeepingSystem |
P15775
|
FINISHED |
| Object | Ethiopian time (12-hour day starting at sunrise) |
—
|
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: Ethiopian time (12-hour day starting at sunrise) | Statement: [Ethiopians, timekeepingSystem, Ethiopian time (12-hour day starting at sunrise)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timekeepingSystem Context triple: [Ethiopians, timekeepingSystem, Ethiopian time (12-hour day starting at sunrise)]
-
A.
timeSystem
chosen
Indicates a relationship where an entity uses, follows, or is defined within a particular system for measuring or organizing time.
-
B.
usesClockSystem
Indicates that one entity employs or operates according to the clock or timekeeping system defined or provided by another entity.
-
C.
clockType
Indicates the type or category of a clock associated with an entity (e.g., analog, digital, system clock, etc.).
-
D.
timingStandard
Indicates that one entity specifies or conforms to the timing rules, constraints, or reference schedule defined by another entity.
-
E.
timeIndicationMethod
Indicates the method or mechanism by which a point or interval in time is specified or conveyed.
- F. None of above.
Provenance (3 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d7d3ac48190adef6aa96f5a5b45 |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:10 p.m.