Triple
T5640035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shams-e Tabrizi |
E124242
|
entity |
| Predicate | meetingSignificance |
P65358
|
FINISHED |
| Object | turning Rumi from jurist and theologian into mystic poet |
—
|
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: turning Rumi from jurist and theologian into mystic poet | Statement: [Shams-e Tabrizi, meetingSignificance, turning Rumi from jurist and theologian into mystic poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetingSignificance Context triple: [Shams-e Tabrizi, meetingSignificance, turning Rumi from jurist and theologian into mystic poet]
-
A.
meetingType
Indicates the specific category or format of a meeting that characterizes how it is organized or conducted.
-
B.
meetingContext
Indicates the situational setting, circumstances, or background conditions in which a meeting takes place.
-
C.
meeting
Indicates that two or more entities come together at the same time and place for discussion, decision-making, or coordinated activity.
-
D.
notableMeeting
Indicates that two or more entities participated together in a meeting considered significant or noteworthy in some context.
-
E.
meetingsAre
Indicates that certain entities function as or are classified as meetings in relation to one another.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0727bc8190b16e9a669c04b4dd |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:41 p.m.