Triple
T31451232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam in Ethiopia |
E802324
|
entity |
| Predicate | hasPeriodOf |
P192781
|
FINISHED |
| Object | religious coexistence |
—
|
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: religious coexistence | Statement: [Islam in Ethiopia, hasPeriodOf, religious coexistence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeriodOf Context triple: [Islam in Ethiopia, hasPeriodOf, religious coexistence]
-
A.
hasPeriodRange
Indicates that there is a temporal span or interval during which something is valid, active, or applicable.
-
B.
hasPeriodLength
Indicates that something is associated with a specific duration or length of a recurring cycle or period.
-
C.
establishedPeriod
Indicates the time span or date range during which something was founded, created, or formally brought into existence.
-
D.
appliedDuringPeriod
Indicates that an action, condition, or status was in effect throughout a specified time period.
-
E.
hasNotabilityPeriod
Indicates the time span during which an entity is or was notable or prominent.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 30, 2026, 9:13 p.m.