Triple
T23952413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shams Tabrizi |
E603082
|
entity |
| Predicate | meetingWithRumi |
P49217
|
FINISHED |
| Object | Konya, mid-13th century |
—
|
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: Konya, mid-13th century | Statement: [Shams Tabrizi, meetingWithRumi, Konya, mid-13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetingWithRumi Context triple: [Shams Tabrizi, meetingWithRumi, Konya, mid-13th century]
-
A.
relationshipToRumi
Indicates the specific familial, social, or interpersonal connection that an entity has to Rumi.
-
B.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
C.
meeting
chosen
Indicates that two or more entities come together at the same time and place for discussion, decision-making, or coordinated activity.
-
D.
meditationSubject
Indicates that one entity is the topic, focus, or object upon which another entity meditates.
-
E.
meetingType
Indicates the specific category or format of a meeting that characterizes how it is organized or conducted.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d48bc881909d58d258757e67ad |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:20 p.m.