Triple
T36992903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | گریگورین کیلنڈر |
E915152
|
entity |
| Predicate | پیشرو |
P177701
|
FINISHED |
| Object |
جولین کیلنڈر
جولین کیلنڈر یک گاهشمار خورشیدی قدیمی است که در دوران روم باستان معرفی شد و تا سدهها در اروپا و بخشهایی از جهان برای تنظیم تاریخهای مدنی و مذهبی به کار میرفت.
|
E2208118
|
NE FINISHED |
How this triple was built (3 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 | Statement: [گریگورین کیلنڈر, پیشرو, جولین کیلنڈر]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: جولین کیلنڈر Triple: [گریگورین کیلنڈر, پیشرو, جولین کیلنڈر]
Generated description
جولین کیلنڈر یک گاهشمار خورشیدی قدیمی است که در دوران روم باستان معرفی شد و تا سدهها در اروپا و بخشهایی از جهان برای تنظیم تاریخهای مدنی و مذهبی به کار میرفت.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: پیشرو Context triple: [گریگورین کیلنڈر, پیشرو, جولین کیلنڈر]
-
A.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
B.
قبلة
Indicates a kissing action or gesture occurring between entities.
-
C.
شهرت اصلی
Indicates a primary or most notable form of fame or recognition associated with an 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.
تلاه
chosen
Indicates that one event, action, or entity comes immediately after or follows another in sequence.
- F. None of above.
Provenance (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e5760720c8190b295be8936383fc5 |
completed | June 26, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_6a3e5931ce08819080758885f22bda3a |
completed | June 26, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3e5f4a910081908f9ff844c1feb1ae |
completed | June 26, 2026, 11:15 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.