Triple
T36992937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | گریگورین کیلنڈر |
E915152
|
entity |
| Predicate | اصلاح |
P186876
|
FINISHED |
| Object | جولین کیلنڈر کی لیپ سال کی غلطی کو درست کرنا |
—
|
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: جولین کیلنڈر کی لیپ سال کی غلطی کو درست کرنا | Statement: [گریگورین کیلنڈر, اصلاح, جولین کیلنڈر کی لیپ سال کی غلطی کو درست کرنا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اصلاح Context triple: [گریگورین کیلنڈر, اصلاح, جولین کیلنڈر کی لیپ سال کی غلطی کو درست کرنا]
-
A.
إسهام
Indicates contributing or participating in bringing about, supporting, or advancing something, often as one factor among others.
-
B.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
C.
المالك
Indicates a relationship where one entity is the owner or possessor of another entity.
-
D.
رعى
Indicates that an entity takes care of, looks after, or tends to another entity or activity (such as caring for someone, herding animals, or sponsoring an event).
-
E.
أول إمام بارز
Indicates that an entity is the first prominent imam in a given lineage, context, or tradition.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.