Triple
T15995608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tijaniyya Sufi order |
E387957
|
entity |
| Predicate | foundedInApproxYear |
P1825
|
FINISHED |
| Object | 1780s |
—
|
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: 1780s | Statement: [Tijaniyya Sufi order, foundedInApproxYear, 1780s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedInApproxYear Context triple: [Tijaniyya Sufi order, foundedInApproxYear, 1780s]
-
A.
foundedInYearApprox
chosen
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
B.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
C.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
D.
foundedAfter
Indicates that one entity was founded at a later time than another entity.
-
E.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.