Triple
T29047327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صبحِ آزادی |
E735169
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
فیض احمد فیض کا شعری مجموعہ
"صبحِ آزادی" فیض احمد فیض کے اردو شعری مجموعے میں شامل ایک معروف نظم ہے جو برصغیر کی آزادی کے پس منظر میں امید، مایوسی اور جدوجہد کے ملے جلے جذبات کی ترجمانی کرتی ہے۔
|
E1847236
|
NE 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: فیض احمد فیض کا شعری مجموعہ | Statement: [صبحِ آزادی, partOf, فیض احمد فیض کا شعری مجموعہ]
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: فیض احمد فیض کا شعری مجموعہ Triple: [صبحِ آزادی, partOf, فیض احمد فیض کا شعری مجموعہ]
Generated description
"صبحِ آزادی" فیض احمد فیض کے اردو شعری مجموعے میں شامل ایک معروف نظم ہے جو برصغیر کی آزادی کے پس منظر میں امید، مایوسی اور جدوجہد کے ملے جلے جذبات کی ترجمانی کرتی ہے۔
Provenance (5 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66062f54481908eedcc2f2a11295a |
completed | May 2, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f738e00819092cb24795dd594d1 |
completed | June 7, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a252349bdcc8190a167f8376cf6c58f |
completed | June 7, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2527fa35c481909dcfac5d18038aed |
completed | June 7, 2026, 8:12 a.m. |
Created at: April 28, 2026, 10:06 a.m.